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[FreeCourseSite.com] Udemy - Ultimate Data Science Bootcamp Build 50 Real Time Projects

  • 21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4 315.7 MB
  • 26. Project-25 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4 256.2 MB
  • 28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4 254.7 MB
  • 29. Project-28 Restaurant Recommendation System/4. Data Analysis 2 - Model Building.mp4 254.6 MB
  • 30. Project-29 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4 252.1 MB
  • 23. Project-22 Attrition Rate Django Application/2. Creating Colab Notebook.mp4 224.2 MB
  • 31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4 217.3 MB
  • 27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4 211.4 MB
  • 31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/6.1 Forest Fires App -Code.zip 196.6 MB
  • 26. Project-25 Cats Vs Dogs Classification Flask App/6.1 Cats Vs Dogs App Code.zip 189.4 MB
  • 24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4 185.8 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4 179.2 MB
  • 16. Project-15 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4 173.6 MB
  • 20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on GCP.mp4 173.3 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4 163.6 MB
  • 15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4 162.8 MB
  • 37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4 162.1 MB
  • 19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4 160.3 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4 160.0 MB
  • 19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4 155.1 MB
[磁力链接] 添加时间:2022-03-08 大小:24.7 GB 最近下载:2025-07-31 热度:3129

[ DevCourseWeb.com ] Udemy - Machine Learning - Data Science Product Management Made Easy

  • ~Get Your Files Here !/06 - Deep Learning Intro/002 Deep Learning Coding Notebook - Case Study in Predicting Dog and Cat Images!.mp4 228.0 MB
  • ~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/004 Linear Regression Coding Notebook - Case Study in Predicting Housing Prices.mp4 191.3 MB
  • ~Get Your Files Here !/05 - Success Metrics/001 Classification success metrics.mp4 137.3 MB
  • ~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/002 Key questions to ask your team.mp4 97.9 MB
  • ~Get Your Files Here !/03 - Data Science Loop/003 Data Science Loop Specifically.mp4 68.9 MB
  • ~Get Your Files Here !/01 - Introduction/003 Main Takeway Preview!.mp4 57.1 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/005 Demographic and Psychographic Factors to Consider.mp4 54.6 MB
  • ~Get Your Files Here !/03 - Data Science Loop/005 Comparing ML and Data Analysis.mp4 45.5 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/001 UX Issues in ML.mp4 45.4 MB
  • ~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/002 Linear Regression Overview.mp4 45.3 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/006 A Research roadmap for you ML Product.mp4 43.5 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/008 Overfitting and Underfitting.mp4 41.7 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/001 Major ML Use Cases.mp4 39.9 MB
  • ~Get Your Files Here !/03 - Data Science Loop/006 Limitations of ML.mp4 38.4 MB
  • ~Get Your Files Here !/05 - Success Metrics/002 General success metrics.mp4 35.0 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/003 Testing mockups of your ML product.mp4 33.3 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/004 Testing concept diagrams of your ML Product.mp4 30.6 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/005 Unsupervised Learning.mp4 29.3 MB
  • ~Get Your Files Here !/01 - Introduction/002 When ML is not the best approach!.mp4 25.3 MB
  • ~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/003 Checklist of Key Sections for you ML Product Roadmap.mp4 24.1 MB
[磁力链接] 添加时间:2022-04-08 大小:1.6 GB 最近下载:2025-08-16 热度:3104

[ CourseWikia.com ] Udemy - Build a Data Science web app using Streamlit.zip

  • [ CourseWikia.com ] Udemy - Build a Data Science web app using Streamlit.zip 1.5 GB
[磁力链接] 添加时间:2022-02-19 大小:1.5 GB 最近下载:2025-08-10 热度:3059

[DesireCourse.Net] Udemy - Complete Data Science Training with Python for Data Analysis

  • 1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip 323.0 MB
  • 1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.m4v 58.3 MB
  • 6. Introduction to Data Visualizations/6. Barplot.mp4 56.4 MB
  • 4. Introduction to Pandas/6. Read in HTML Data.mp4 53.8 MB
  • 13. Miscellaneous Lectures Information/5. Data Imputation.m4v 47.0 MB
  • 1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4 42.3 MB
  • 6. Introduction to Data Visualizations/8. Line Chart.mp4 38.9 MB
  • 3. Introduction to Numpy/3. Numpy Operations.mp4 38.5 MB
  • 8. Statistical Inference Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.mp4 35.0 MB
  • 7. Statistical Data Analysis-Basic/5. Grouping Summarizing Data by Categories.mp4 34.7 MB
  • 8. Statistical Inference Relationship Between Variables/7. Linear Regression-Implementation in Python.mp4 31.6 MB
  • 6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4 31.3 MB
  • 6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 30.8 MB
  • 10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4 30.8 MB
  • 5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.mp4 30.2 MB
  • 8. Statistical Inference Relationship Between Variables/12. Logistic Regression.mp4 30.2 MB
  • 11. Supervised Learning/5. RF-Classification.mp4 29.9 MB
  • 11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4 29.7 MB
  • 8. Statistical Inference Relationship Between Variables/3. Test the Difference Between More Than Two Groups.mp4 29.7 MB
  • 13. Miscellaneous Lectures Information/4. Naive Bayes Classification.m4v 29.5 MB
[磁力链接] 添加时间:2021-03-07 大小:2.4 GB 最近下载:2025-08-14 热度:3048

MPVCONF2020-CASES-Excel, Estatística e Data Science Combinação Explosiva para o Sucesso

  • [PT-BR] - 34781 - Excel, Estatística e Data Science Combinação Explosiva para o Sucesso.mkv 237.6 MB
[磁力链接] 添加时间:2021-03-11 大小:237.6 MB 最近下载:2025-08-13 热度:3048

[CourseClub.NET] Udacity - Data Science Scholarship Program By Bertelsmann

  • Udacity - Data Science Scholarship Program By Bertelsmann/Subtitles.zip 2.7 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/1 - Bertelsmann Udacity Data Science Scholarship.mp4 32.1 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/10 - BBC Measurement.mp4 1.2 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/100 - Proportion over 60.mp4 118.1 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/101 - Proportion over 60 Solution.mp4 939.6 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/102 - Percentage Under 60.mp4 205.8 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/103 - Percentage Under 60 Solution.mp4 414.7 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/104 - Younger than 20.mp4 202.5 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/105 - Younger than 20 Solution.mp4 419.5 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/106 - Continent Graph.mp4 754.1 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/107 - Continent Graph Solution.mp4 568.5 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/108 - Difference Between Graphs.mp4 449.1 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/109 - Difference Between Graphs Solution.mp4 2.2 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/11 - BBC Measurement Solution.mp4 3.3 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/110 - Biased Graphs.mp4 596.5 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/111 - Biased Graphs Solution.mp4 743.9 kB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/112 - Changing Bin Size.mp4 1.9 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/113 - Interpret Histogram.mp4 1.8 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/114 - Interpret Histogram Solution.mp4 5.4 MB
  • Udacity - Data Science Scholarship Program By Bertelsmann/Videos/115 - Skewed Distribution.mp4 2.0 MB
[磁力链接] 添加时间:2018-08-04 大小:1.1 GB 最近下载:2025-08-16 热度:3029

GetFreeCourses.Co-Udemy-The R Programming For Data Science A-Z Complete Diploma 2021

  • 15. Module 14 Statistics and Data analysis/2. Statistics 2.mp4 77.6 MB
  • 3. Module 2 Numbers and Math/3. Math operations.mp4 65.3 MB
  • 3. Module 2 Numbers and Math/2. Type conversion.mp4 58.5 MB
  • 3. Module 2 Numbers and Math/1. Type of numbers.mp4 54.7 MB
  • 8. Module 7 DS - Matrices/4. DS - Matrices 4.mp4 52.6 MB
  • 14. Module 13 Functional Programming/5. Functions 5.mp4 48.4 MB
  • 16. Module 15 Data Visualization and Graphics/10. Pie Charts 3.mp4 40.5 MB
  • 14. Module 13 Functional Programming/3. Functions 3.mp4 40.4 MB
  • 6. Module 5 DS - Vectors/5. DS -Vectors 5.mp4 38.7 MB
  • 10. Module 9 DS - Data Frame/4. DS - Data Frame 4.mp4 38.1 MB
  • 11. Module 10 DS - Factors/2. DS - Factors 2.mp4 37.1 MB
  • 1. Module 0 Introduction/3. Downloading and Installing the RStudio IDE.mp4 35.4 MB
  • 13. Module 12 Repetition/6. For loop 3.mp4 35.1 MB
  • 8. Module 7 DS - Matrices/3. DS - Matrices 3.mp4 34.8 MB
  • 7. Module 6 DS - Lists/4. DS - Lists 4.mp4 34.4 MB
  • 7. Module 6 DS - Lists/3. DS - Lists 3.mp4 32.6 MB
  • 15. Module 14 Statistics and Data analysis/3. Statistics 3.mp4 31.7 MB
  • 1. Module 0 Introduction/2. Downloading and Installing R.mp4 30.6 MB
  • 15. Module 14 Statistics and Data analysis/4. Statistics 4.mp4 30.6 MB
  • 6. Module 5 DS - Vectors/4. DS -Vectors 4.mp4 28.9 MB
[磁力链接] 添加时间:2022-01-26 大小:2.1 GB 最近下载:2025-08-10 热度:3013

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-04-15 大小:6.8 GB 最近下载:2025-07-17 热度:3008

[DesireCourse.Net] Udemy - Tableau 2020 A-Z Hands-On Tableau Training for Data Science

  • 7. Advanced Data Preparation/3. Data Interpreter.mp4 143.5 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/5. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 110.0 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 104.1 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 99.5 MB
  • 9. What's new in Tableau/1. Connecting to PDF.mp4 95.0 MB
  • 8. Clusters, Custom Territories, Design Features/3. Custom Territories Via Groups.mp4 81.1 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 79.3 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 77.9 MB
  • 8. Clusters, Custom Territories, Design Features/8. Modeling With Clusters.mp4 77.6 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 75.8 MB
  • 9. What's new in Tableau/6. Viz in Tooltip.mp4 75.7 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 74.8 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 73.1 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 73.0 MB
  • 9. What's new in Tableau/3. Joining to Spatial Files.mp4 70.1 MB
  • 3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 68.7 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 65.4 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/4. Creating a Scatter Plot, Applying Filters to Multiple Worksheets.mp4 64.9 MB
  • 3. Time series, Aggregation, and Filters/3. Working with Time Series.mp4 62.1 MB
  • 9. What's new in Tableau/5. Step and Jump Line Chart.mp4 62.0 MB
[磁力链接] 添加时间:2021-03-16 大小:3.5 GB 最近下载:2025-08-06 热度:2995

Docker Masterclass for Machine Learning and Data Science

  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/1. Welcome/1. Welcome!.mp4 77.1 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/6. Automated Builds/8. NGINX & Automation P5.mp4 54.6 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/9. Docker Swarm/3. Swarm Deploy.mp4 48.5 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/14. Course Vault/4. Kubernetes Demo.mp4 47.9 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/4. DockerHub/3. Docker Hub Pull Image.mp4 45.4 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/7. File Challenge/3. File Challenge Solution.mp4 45.1 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/10. AWS/4. AWS Part Three.mp4 40.7 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/9. Docker Swarm/2. Swarm Intro.mp4 38.0 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/11. Security/3. Docker Security Scan.mp4 37.8 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/8. Docker Compose/3. Docker Compose - Jupyter.mp4 36.5 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/8. Docker Compose/5. Docker Compose Challenge - Part 1.mp4 33.3 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/8. Docker Compose/4. Docker Compose Challenge.mp4 33.0 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/13. Final/1. Thank You!.mp4 33.0 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/10. AWS/3. AWS Part Two.mp4 32.4 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/4. DockerHub/8. Testing a Volume.mp4 32.0 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/10. AWS/6. AWS Extras.mp4 30.3 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/6. Automated Builds/4. NGINX & Automation P1.mp4 29.8 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/11. Security/1. Docker Security - CVE.mp4 27.6 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/5. Challenge/3. Challenge Solution.mp4 27.3 MB
  • [TutsNode.com] - Docker Masterclass for Machine Learning and Data Science/3. Working With Docker - Basics/7. Common Docker Commands.mp4 27.2 MB
[磁力链接] 添加时间:2021-03-14 大小:1.3 GB 最近下载:2025-08-12 热度:2988

[FreeCourseLab.com] Udemy - Master SQL For Data Science

  • Lesson 37. Working with Rollups and Cubes.mp4 117.4 MB
  • Lesson 35. RANK, FIRST_VALUE and NTILE Functions.mp4 116.7 MB
  • Lesson 32. Creating Views vs. Inline Views.mp4 84.3 MB
  • Lesson 4. Install Postgres on Windows.mp4 75.1 MB
  • Lesson 36. LEAD and LAG Functions.mp4 66.2 MB
  • Lesson 1. Course Overview.mp4 55.4 MB
  • Lesson 5. Create Table and Insert Statements.mp4 45.3 MB
  • Lesson 28. INNER and OUTER Joins + [EXERCISES].mp4 42.6 MB
  • Lesson 8. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
  • Lesson 6. Prepare the Database.mp4 41.9 MB
  • Lesson 34. Ordering Data in Window Frames.mp4 36.5 MB
  • Lesson 23. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
  • Lesson 21. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
  • Lesson 7. Introducing the SELECT Statement.mp4 34.4 MB
  • Lesson 25. Understanding Correlated Subqueries.mp4 33.6 MB
  • Lesson 24. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
  • Lesson 9. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
  • Lesson 33. Window Functions using the OVER() Clause.mp4 31.3 MB
  • Lesson 20. Subqueries Continued + [EXERCISES].mp4 31.2 MB
  • Lesson 31. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB
[磁力链接] 添加时间:2021-03-21 大小:1.4 GB 最近下载:2025-08-17 热度:2987

Math for Data Science and Machine Learning University Level

  • 10 Standard Deviation/001 Mean, Median, Mode and Standard Deviation.mp4 281.0 MB
  • 05 Eigen Values and Eigen Vectors/001 A Brief Lecture on Eigen Values and Eigen Vectors.mp4 160.7 MB
  • 12 Introductions to ODE's and PDE's/001 A Brief Discussion of ODE's and PDE's.mp4 150.6 MB
  • 07 Probability and Statistics/002 A Brief Introduction About Probability.mp4 146.8 MB
  • 09 Pi Chart and Bar Graph/001 A Detail Lecture on Pi Chart and Bar Graph.mp4 111.9 MB
  • 08 Permutations and Combinations/001 A Detailed Lecture on Permutations and Combinations.mp4 110.3 MB
  • 07 Probability and Statistics/001 Sample Space and Events.mp4 108.2 MB
  • 04 Vector Spaces/001 Defining Vector Space and Linear Combination.mp4 100.2 MB
  • 06 Sets and Venn Diagram/001 Introduction to Sets.mp4 99.9 MB
  • 03 Gauss's Elimination Method/002 Gauss's Elimination Method and Rank of a Matrix.mp4 96.5 MB
  • 09 Pi Chart and Bar Graph/002 Line Graph and Histogram.mp4 88.9 MB
  • 11 Types of Distributions/001 Poison, Gamma and Chi Squared Distributions.mp4 72.6 MB
  • 05 Eigen Values and Eigen Vectors/002 Gram's Schmidt Process.mp4 58.9 MB
  • 01 Introduction to Matrix/003 Symmetric and Skew Symmetric Matrix.mp4 58.9 MB
  • 01 Introduction to Matrix/004 General Operations in Matrix.mp4 58.4 MB
  • 06 Sets and Venn Diagram/002 Venn Diagram.mp4 57.7 MB
  • 08 Permutations and Combinations/002 Permutations and Combinations Examples.mp4 39.5 MB
  • 01 Introduction to Matrix/001 Matrix and Order of a Matrix.mp4 31.6 MB
  • 01 Introduction to Matrix/002 Types of Matrix.mp4 29.8 MB
  • 02 Solution of Matrix/003 Echelon and Reduce Echelon Form of Matrix.mp4 27.3 MB
[磁力链接] 添加时间:2022-03-07 大小:2.0 GB 最近下载:2025-08-15 热度:2987

Geospatial Data Science with R

  • 014-Functions-q9LW-onehack.us.mp4 28.5 MB
  • 029-Working-with-rasters-DQH5-onehack.us.mp4 27.9 MB
  • 041-Land-cover-classification-Notes-and-exercises-tqwP-onehack.us.mp4 22.2 MB
  • 027-Vectors-Geometry-operations-Av94-onehack.us.mp4 19.9 MB
  • 024-Vectors-Points-USGi-onehack.us.mp4 19.7 MB
  • 045-Dasymetric-mapping-Rasterize-and-map-JxgZ-onehack.us.mp4 19.3 MB
  • 012-Data-structures-PrVv-onehack.us.mp4 19.0 MB
  • 010-R-Projects-BV9h-onehack.us.mp4 17.0 MB
  • 026-Vectors-Polygons-qHj1-onehack.us.mp4 16.7 MB
  • 017-The-tidyverse-Example-s5og-onehack.us.mp4 16.3 MB
  • 047-Dasymetric-mapping-Notes-and-exercises-2jKW-onehack.us.mp4 15.7 MB
  • 031-Week-2-Notes-and-exercises-4hRS-onehack.us.mp4 14.7 MB
  • 030-Convert-between-vectors-and-rasters-2nj9-onehack.us.mp4 13.8 MB
  • 028-Vectors-Spatial-operations-hQ27-onehack.us.mp4 13.5 MB
  • 009-R-Notebooks-sTLu-onehack.us.mp4 12.8 MB
  • 038-Land-cover-classification-Classify-images-v3aU-onehack.us.mp4 11.1 MB
  • 001-Welcome-YMwt-onehack.us.mp4 10.4 MB
  • 016-The-tidyverse-wK3o-onehack.us.mp4 10.4 MB
  • 013-Subsetting-operations-Odrl-onehack.us.mp4 10.3 MB
  • 011-General-syntax-MjKI-onehack.us.mp4 10.2 MB
[磁力链接] 添加时间:2024-12-20 大小:433.4 MB 最近下载:2025-08-16 热度:2980

Pluralsight Path. Data Science with Microsoft Azure (2021)

  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/5. Demo - Azure Databricks with Azure Data Lake Storage Gen2.mp4 63.4 MB
  • F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/3. Using Continuous Integration and Continuous Deployment/4. Creating Pipelines.mp4 51.2 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/exercise.7z 45.9 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/6. Demo - Working with KQL - Timeseries.mp4 44.0 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/2. Data Preprocessing with Microsoft AzureML.mp4 39.4 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/5. Demo - Working with KQL - Basic.mp4 39.0 MB
  • F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/2. Deploying a Machine Learning Model/5. Creating and Deploying.mp4 38.8 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/4. Extracting and Matching Features with SIFT.mp4 37.1 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/5. Data Ingestion for ADX/6. Demo - Data Ingestion Using EventHubs and .Net Custom Code.mp4 36.5 MB
  • B2. Sourcing Data in Microsoft Azure (Jared Rhodes, 2019)/3. Extracting and Loading Data into an Azure Workflow/6. HD Insights Demo.mp4 34.4 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/6. Demo - Create Model and Perform Predictive Analytics Part3.mp4 34.1 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/5. Tuning Hyperparameters and AutoML/3. Automated Machine Learning Experiment Using Python SDK.mp4 33.4 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/1. Creating and Registering Microsoft AzureML Datastore.mp4 31.3 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/4. Demo - Communicating Insights using MatPlotLib.mp4 29.9 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/4. Demo - Configuring and Working with Azure Databricks.mp4 29.1 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/6. Extracting and Matching Features with HOG.mp4 28.5 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/6. Demo - Performing Exploratory Data Analysis using Azure Databricks.mp4 27.0 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/5. Demo - Create Model and Perform Predictive Analytics Part 2.mp4 25.7 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/7. Demo - Working with Streaming Data Using Azure Databricks and Event Hubs.mp4 24.7 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/3. Demo - Communicating Insights using Power BI.mp4 24.5 MB
[磁力链接] 添加时间:2024-01-06 大小:3.4 GB 最近下载:2025-08-16 热度:2978

Complete Guide to Data Science Applications with Streamlit

  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/1. Introduction/3.1 streamlit.zip 277.9 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/7. Matplotlib with Streamlit/13. Create Four Sub Plots.mp4 99.6 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/13. Build an Altair Grouped Bar Chart.mp4 86.2 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/8. Streamlit with Seaborn/5. Stripplot & Violin Plot.mp4 83.3 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/5. Create Altair Line Plot.mp4 74.4 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/2. Python Crash Course/19. Python Solutions.mp4 74.4 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/16. Add Text to the Chart.mp4 73.5 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/14. Streamlit Authentication/1. Authenticate your app.mp4 72.0 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/17. Streamlit Layout/1. Laying Out Your Application.mp4 69.3 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/9. Extras/1. Extras - Page Title, Favicon etc.mp4 68.3 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/18. Add Interactivity in Streamlit/2. Add Interactivity - Date Inputs.mp4 65.8 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/8. Streamlit with Seaborn/4. Create Count Plot.mp4 65.4 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/8. Streamlit with Seaborn/9. Word Cloud.mp4 64.9 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/18. Create an Interactive Legend in Altair.mp4 63.6 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/4. Create Altair Line Chart.mp4 58.7 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/7. Matplotlib with Streamlit/11. Pie Chart.mp4 58.2 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/7. Matplotlib with Streamlit/7. Bar Plot.mp4 57.1 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/20. Create Dual Y Axis in Altair.mp4 55.9 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/7. Matplotlib with Streamlit/15. Four Plots With Figure & Axes.mp4 55.4 MB
  • [TutsNode.com] - Complete Guide to Data Science Applications with Streamlit/16. Streamlit with Altair/9. 8Scatter with Links [ Exercise].mp4 53.7 MB
[磁力链接] 添加时间:2021-04-27 大小:4.6 GB 最近下载:2025-08-16 热度:2972

Data Science using Machine Learning Algorithm with Big Data

  • Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
  • Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
  • Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
  • Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
  • Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
  • Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
  • Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
  • Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
  • Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
  • Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
  • Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
  • Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
  • Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
  • Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
  • Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
  • Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
  • Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
  • Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
  • Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
  • Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB
[磁力链接] 添加时间:2022-05-02 大小:5.5 GB 最近下载:2025-08-16 热度:2958

[CourserHub.com] Coursera - Statistical Modeling for Data Science Applications Specialization

  • modern-regression-analysis-in-r/04_prediction-and-explanation-in-linear-regression-analysis/02_explanation/01_defining-causality.mp4 79.6 MB
  • modern-regression-analysis-in-r/01_introduction-to-statistical-models/02_introduction-to-statistical-modeling/03_frameworks-and-goals-of-statistical-modeling.mp4 63.3 MB
  • anova-and-experimental-design/04_experimental-design-basic-concepts-and-designs/01_the-conceptual-framework-of-experimental-design/01_the-conceptual-framework-of-experimental-design.mp4 59.7 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/02_variability-and-identifiability-in-regression-models/04_regression-modeling-in-r-a-second-pass.mp4 58.2 MB
  • modern-regression-analysis-in-r/04_prediction-and-explanation-in-linear-regression-analysis/01_prediction/04_making-predictions-using-real-data-in-r.mp4 52.8 MB
  • modern-regression-analysis-in-r/03_inference-in-linear-regression/01_statistical-inference-introduction-and-t-tests/04_t-tests-in-r.mp4 52.6 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/01_least-squares/01_introduction-to-least-squares.mp4 47.8 MB
  • modern-regression-analysis-in-r/03_inference-in-linear-regression/01_statistical-inference-introduction-and-t-tests/02_the-sampling-distribution-of-the-least-squares-estimator.mp4 46.0 MB
  • generalized-linear-models-and-nonparametric-regression/02_models-for-count-data/01_poisson-regression-basics/04_poisson-regression-on-real-data-in-r.mp4 44.7 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/01_least-squares/04_regression-modeling-in-r-a-first-pass.mp4 43.9 MB
  • modern-regression-analysis-in-r/03_inference-in-linear-regression/02_statistical-inference-the-f-tests-and-confidence-intervals/02_the-f-test.mp4 43.5 MB
  • modern-regression-analysis-in-r/01_introduction-to-statistical-models/03_the-linear-regression-model/04_the-appropriateness-of-linear-regression.mp4 41.8 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/02_variability-and-identifiability-in-regression-models/02_the-coefficient-of-determination.mp4 41.4 MB
  • anova-and-experimental-design/02_hypothesis-testing-in-the-anova-context/04_type-ii-error-and-power-in-the-anova-context/01_type-ii-error-and-power-in-the-anova-context.mp4 40.6 MB
  • anova-and-experimental-design/04_experimental-design-basic-concepts-and-designs/02_the-completely-randomized-design/01_the-completely-randomized-design.mp4 40.5 MB
  • anova-and-experimental-design/03_two-way-anova-and-interactions/04_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations/01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.mp4 40.2 MB
  • anova-and-experimental-design/01_introduction-to-anova-and-experimental-design/02_introduction-to-anova-and-experimental-design/03_introduction-to-experimental-design.mp4 39.2 MB
  • modern-regression-analysis-in-r/04_prediction-and-explanation-in-linear-regression-analysis/01_prediction/01_differentiating-prediction-and-explanation.mp4 38.6 MB
  • anova-and-experimental-design/02_hypothesis-testing-in-the-anova-context/01_beyond-the-full-f-test/01_beyond-the-full-f-test.mp4 37.6 MB
  • anova-and-experimental-design/04_experimental-design-basic-concepts-and-designs/05_further-issues-in-experimental-design/03_ethical-issues-in-experimental-design.mp4 37.6 MB
[磁力链接] 添加时间:2024-02-17 大小:2.8 GB 最近下载:2025-08-16 热度:2958

[Udemy] Statistics for Data Science and Business Analysis (2020)

  • 05 Practical example descriptive statistics/026 Practical example.mp4 168.3 MB
  • 17 Practical example regression analysis/091 Practical example regression analysis.mp4 135.6 MB
  • 09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 107.6 MB
  • 10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 96.6 MB
  • 10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 86.5 MB
  • 07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 76.1 MB
  • 08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 72.7 MB
  • 01 Introduction/001 What does the course cover.mp4 72.0 MB
  • 06 Distributions/033 Understanding the central limit theorem.mp4 65.9 MB
  • 06 Distributions/029 What is a distribution.mp4 64.6 MB
  • 02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 60.9 MB
  • 07 Estimators and estimates/039 Confidence interval clarifications.mp4 59.9 MB
  • 11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 57.0 MB
  • 11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 56.9 MB
  • 13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 53.5 MB
  • 04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-26 大小:3.0 GB 最近下载:2025-08-16 热度:2944

Deploying Scalable Machine Learning for Data Science

  • 5.4. Running ML Services in Containers/19.Example Docker build process.mp4 11.7 MB
  • 1.Introduction/01.Scaling ML models.mp4 3.4 MB
  • 1.Introduction/02.What you should know.en.srt 1.9 kB
  • 1.Introduction/02.What you should know.mp4 2.6 MB
  • 2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.en.srt 8.7 kB
  • 2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.mp4 10.0 MB
  • 2.1. The Need to Scale ML Models/04.Building and deploying ML models for production use.en.srt 8.8 kB
  • 2.1. The Need to Scale ML Models/04.Building and deploying ML models for production use.mp4 8.0 MB
  • 2.1. The Need to Scale ML Models/05.Definition of scaling ML for production.en.srt 8.1 kB
  • 2.1. The Need to Scale ML Models/05.Definition of scaling ML for production.mp4 7.5 MB
  • 2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.en.srt 8.1 kB
  • 2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.mp4 10.3 MB
  • 3.2. Design Patterns for Scalable ML Applications/07.Horizontal vs. vertical scaling.en.srt 6.7 kB
  • 3.2. Design Patterns for Scalable ML Applications/07.Horizontal vs. vertical scaling.mp4 6.8 MB
  • 3.2. Design Patterns for Scalable ML Applications/08.Running models as services.en.srt 3.9 kB
  • 3.2. Design Patterns for Scalable ML Applications/08.Running models as services.mp4 3.1 MB
  • 3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.en.srt 7.8 kB
  • 3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.mp4 8.7 MB
  • 3.2. Design Patterns for Scalable ML Applications/10.Load balancing and clusters of servers.en.srt 7.4 kB
  • 3.2. Design Patterns for Scalable ML Applications/10.Load balancing and clusters of servers.mp4 6.9 MB
[磁力链接] 添加时间:2018-09-16 大小:186.6 MB 最近下载:2025-08-16 热度:2942

2021 Python for Machine Learning & Data Science Masterclass

  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/29. Pandas Project Exercise Solutions.mp4 190.4 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/16. Logistic Regression Project Exercise - Solutions.mp4 176.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/3. Dealing with Outliers.mp4 147.9 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/7. Coding Classification with Random Forest Classifier - Part Two.mp4 145.8 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/8. Coding Decision Trees - Part Two -Creating the Model.mp4 143.0 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/27. Pandas Pivot Tables.mp4 135.0 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/5. Dealing with Missing Data Part Two - Filling or Dropping data based on Rows.mp4 131.3 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/6. Dealing with Missing Data Part 3 - Fixing data based on Columns.mp4 128.7 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/7. Coding Decision Trees - Part One - The Data.mp4 120.7 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/5. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/4. KNN Coding with Python - Part Two - Choosing K.mp4 117.8 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/14. Multi-Class Classification with Logistic Regression - Part Two - Model.mp4 116.4 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/6. KNN Classification Project Exercise Solutions.mp4 115.1 MB
[磁力链接] 添加时间:2021-03-31 大小:11.4 GB 最近下载:2025-08-12 热度:2936


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