udemy data science -移花宫 -武林禁地，闲人禁止入内

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

[磁力链接] 添加时间:2021-03-14 大小:4.1 GB 最近下载:2025-09-03 热度:947

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2021-03-14 大小:18.4 GB 最近下载:2025-08-21 热度:1568

[ FreeCourseWeb.com ] Udemy - What is Data Science-.zip

[ FreeCourseWeb.com ] Udemy - What is Data Science-.zip 556.0 MB

[磁力链接] 添加时间:2021-03-14 大小:556.0 MB 最近下载:2024-05-11 热度:47

[DesireCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

[DesireCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp.zip 3.9 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2021-03-14 大小:3.9 GB 最近下载:2025-09-03 热度:797

[FreeCourseSite.com] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.5 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB
3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB

[磁力链接] 添加时间:2021-03-15 大小:7.2 GB 最近下载:2025-08-04 热度:890

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

37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.srt 165.8 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.8 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB

[磁力链接] 添加时间:2021-03-15 大小:12.4 GB 最近下载:2025-08-31 热度:4856

[ DevCourseWeb.com ] Udemy - Structured Query Language (SQL) for Data Science.zip

[ DevCourseWeb.com ] Udemy - Structured Query Language (SQL) for Data Science.zip 1.1 GB

[磁力链接] 添加时间:2021-03-15 大小:1.1 GB 最近下载:2025-08-17 热度:853

Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio

Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio.rar 7.2 GB

[磁力链接] 添加时间:2021-03-15 大小:7.2 GB 最近下载:2025-06-11 热度:553

[FreeCourseSite.com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
4. Matrices/9. Advanced Function Design.mp4 59.5 MB
7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
4. Matrices/8. Creating Your First Function.mp4 50.9 MB
5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
4. Matrices/10. Basketball Insights.mp4 43.5 MB
5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB

[磁力链接] 添加时间:2021-03-15 大小:2.4 GB 最近下载:2025-06-01 热度:1628

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-08-31 热度:2367

[DesireCourse.Net] Udemy - Tableau 10 Advanced Training Master Tableau in Data Science

2. Groups and Sets/2. Updates on Udemy Reviews.mp4 68.4 MB
3. Advanced Table Calculations/4. Calculated Fields vs Table Calculations.mp4 67.9 MB
7. Conclusion/2. THANK YOU bonus video.mp4 54.8 MB
4. Advanced Data Prep + Analytics In Tableau/5. Working with Large Data Sources.mp4 42.4 MB
3. Advanced Table Calculations/2. Project Brief Coal Terminal Utilization Analysis.mp4 36.1 MB
3. Advanced Table Calculations/8. Writing your own Table Calculations.mp4 36.1 MB
6. Level Of Detail Calculations (LOD)/9. LOD Type 2 EXCLUDE (Part 2).mp4 35.9 MB
6. Level Of Detail Calculations (LOD)/8. LOD Type 2 EXCLUDE (Part 1).mp4 35.8 MB
2. Groups and Sets/10. Dashboard Tricks.mp4 34.2 MB
6. Level Of Detail Calculations (LOD)/6. LOD Type 1 INCLUDE.mp4 33.8 MB
3. Advanced Table Calculations/12. Creating a Storyline.mp4 33.1 MB
3. Advanced Table Calculations/10. Quality Assurance For Table Calculations.mp4 32.4 MB
3. Advanced Table Calculations/11. Trendlines for Power-Insights.mp4 31.5 MB
1. Introduction/1. Welcome to the Tableau Advanced course.mp4 29.5 MB
4. Advanced Data Prep + Analytics In Tableau/11. Advanced Timeseries Blending.mp4 28.0 MB
4. Advanced Data Prep + Analytics In Tableau/7. What Does Real World Retail Look Like.mp4 26.5 MB
6. Level Of Detail Calculations (LOD)/1. Section Intro.mp4 26.3 MB
3. Advanced Table Calculations/5. Creating Advanced Table Calculations.mp4 25.8 MB
7. Conclusion/1. Course Overview.mp4 25.4 MB
6. Level Of Detail Calculations (LOD)/11. LOD Type 3 FIXED.mp4 24.7 MB

[磁力链接] 添加时间:2021-03-16 大小:1.4 GB 最近下载:2025-08-29 热度:744

[Tutorialsplanet.NET] Udemy - Probability for Statistics and Data Science

4. Distributions/29. Practical Example Distributions.mp4 165.1 MB
3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4 152.0 MB
2. Combinatorics/20. Practical Example Combinatorics.mp4 140.9 MB
5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4 103.6 MB
4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4 96.1 MB
1. Introduction to Probability/2. What is the probability formula.mp4 90.0 MB
4. Distributions/15. What is a Continuous Distribution.mp4 88.2 MB
5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4 80.9 MB
1. Introduction to Probability/4. How to compute expected values.mp4 79.4 MB
4. Distributions/1. What is a probability distribution.mp4 76.9 MB
4. Distributions/11. What is the Binomial Distribution.mp4 72.2 MB
5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4 66.5 MB
1. Introduction to Probability/6. What is a probability frequency distribution.mp4 64.6 MB
1. Introduction to Probability/8. What is a complement.mp4 62.0 MB
2. Combinatorics/11. What are combinations and how are they similar to variations.mp4 60.1 MB
3. Bayesian Inference/7. What is the union of sets A and B.mp4 60.0 MB
4. Distributions/13. What is the Poisson Distribution.mp4 58.5 MB
1. Introduction to Probability/1. What does the course cover.mp4 55.2 MB
3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4 52.4 MB
4. Distributions/27. What is the Logistic Distribution.mp4 52.4 MB

[磁力链接] 添加时间:2021-03-16 大小:2.7 GB 最近下载:2025-09-03 热度:273

[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:2025-08-26 热度:2998

[ FreeCourseWeb.com ] Udemy - Julia Programming For Data Science & Machine Learning - Julia.zip

[ FreeCourseWeb.com ] Udemy - Julia Programming For Data Science & Machine Learning - Julia.zip 1.2 GB

[磁力链接] 添加时间:2021-03-16 大小:1.2 GB 最近下载:2025-06-24 热度:1148

[FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.mp4 184.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4 166.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.7 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB

[磁力链接] 添加时间:2021-03-16 大小:21.1 GB 最近下载:2025-08-31 热度:12076

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB

[磁力链接] 添加时间:2021-03-17 大小:8.5 GB 最近下载:2025-08-26 热度:1420

[Udemy][YouRa Allakhverdov] Data Science на Python 3 с нуля (2020)

04 Функции Python/031 Создание функций в Python.mp4 204.7 MB
03 Основы Python/014 Форматирование строк в Python.mp4 203.0 MB
04 Функции Python/032 _args & __kwargs.mp4 187.2 MB
04 Функции Python/033 Лямбда выражения в функциях.mp4 163.9 MB
03 Основы Python/011 Строки в Python.mp4 158.5 MB
03 Основы Python/023 Цикл for.mp4 154.7 MB
02 Установка инструментов/004 Установка IntelliJ IDEA. Windows.mp4 149.5 MB
03 Основы Python/010 Переменные в Python.mp4 147.7 MB
06 Анализ данных. Библиотека NumPy/037 NumPy массивы.mp4 142.4 MB
07 Анализ данных. Библиотека Pandas/051 Input_Output.mp4 139.3 MB
04 Функции Python/034 Область видимости (scope) переменных.mp4 135.3 MB
03 Основы Python/013 Свойства и методы строк.mp4 133.0 MB
03 Основы Python/022 Условный оператор if elif else.mp4 129.5 MB
03 Основы Python/015 Lists в Python.mp4 124.0 MB
03 Основы Python/025 Некоторые часто используемые функции и операторы.mp4 121.9 MB
03 Основы Python/024 Цикл while.mp4 115.4 MB
03 Основы Python/012 Строки. Indexing & Slicing.mp4 113.5 MB
03 Основы Python/016 Dictionaries в Python.mp4 111.1 MB
02 Установка инструментов/006 Установка IntelliJ IDEA. MacOs.mp4 109.1 MB
03 Основы Python/027 Dictionary Comprehension & Set Comprehension.mp4 107.9 MB

[磁力链接] 添加时间:2021-03-17 大小:4.6 GB 最近下载:2025-08-30 热度:14356

[FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis

5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

[磁力链接] 添加时间:2021-03-17 大小:3.0 GB 最近下载:2025-06-22 热度:878

[FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4 162.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB

[磁力链接] 添加时间:2021-03-17 大小:20.5 GB 最近下载:2025-05-08 热度:663

[ FreeCourseWeb.com ] Udemy - Statistics for Data Science using Python.zip

[ FreeCourseWeb.com ] Udemy - Statistics for Data Science using Python.zip 2.2 GB

[磁力链接] 添加时间:2021-03-17 大小:2.2 GB 最近下载:2025-09-01 热度:2014