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[ CourseWikia.com ] Skillshare - Learn and Deploy Streamlit for Data Science Web Apps

  • ~Get Your Files Here !/560828-44 - Plots controlled by multiple widgets - Learn & Deploy Streamlit for Data Science Web Apps.mp4 133.2 MB
  • ~Get Your Files Here !/560828-17 - st.markdown part-3 - Learn & Deploy Streamlit for Data Science Web Apps.mp4 94.7 MB
  • ~Get Your Files Here !/560828-16 - st.markdown part-2 - Learn & Deploy Streamlit for Data Science Web Apps.mp4 90.2 MB
  • ~Get Your Files Here !/560828-18 - Text elements title, header, subheader, code, latex - Learn & Deploy Streamlit for Data Science Web Apps.mp4 84.3 MB
  • ~Get Your Files Here !/560828-23 - Media Elements Display Image, Video and Audio - Learn & Deploy Streamlit for Data Science Web Apps.mp4 82.1 MB
  • ~Get Your Files Here !/560828-34 - text_input, number_input, date_input - Learn & Deploy Streamlit for Data Science Web Apps.mp4 55.9 MB
  • ~Get Your Files Here !/560828-09 - Getting Started Run Streamlit App - Learn & Deploy Streamlit for Data Science Web Apps.mp4 46.8 MB
  • ~Get Your Files Here !/560828-43 - Pandas Plot in Streamlit - Learn & Deploy Streamlit for Data Science Web Apps.mp4 45.6 MB
  • ~Get Your Files Here !/560828-29 - Checkbox - Learn & Deploy Streamlit for Data Science Web Apps.mp4 45.1 MB
  • ~Get Your Files Here !/560828-19 - Data Elements dataframe, table, json - Learn & Deploy Streamlit for Data Science Web Apps.mp4 44.4 MB
  • ~Get Your Files Here !/560828-35 - File upload - Learn & Deploy Streamlit for Data Science Web Apps.mp4 39.3 MB
  • ~Get Your Files Here !/560828-40 - Integrate Matplotlib and Input Widgets - Learn & Deploy Streamlit for Data Science Web Apps.mp4 34.0 MB
  • ~Get Your Files Here !/560828-28 - Button - Learn & Deploy Streamlit for Data Science Web Apps.mp4 32.8 MB
  • ~Get Your Files Here !/560828-12 - st.write - Learn & Deploy Streamlit for Data Science Web Apps.mp4 31.0 MB
  • ~Get Your Files Here !/560828-38 - Matplotlib Figure in Streamlit Pie Chart - Learn & Deploy Streamlit for Data Science Web Apps.mp4 30.6 MB
  • ~Get Your Files Here !/560828-42 - Seaborn Figure + Streamlit Widgets (Histogram, Violin, Kdeplott) - Learn & Deploy Streamlit for Data Science Web Apps.mp4 28.9 MB
  • ~Get Your Files Here !/560828-45 - Scatter Plot + Widgets - Learn & Deploy Streamlit for Data Science Web Apps.mp4 24.6 MB
  • ~Get Your Files Here !/560828-39 - Matplotlib Figure in Streamlit Bar Chart - Learn & Deploy Streamlit for Data Science Web Apps.mp4 23.5 MB
  • ~Get Your Files Here !/560828-27 - Layouts Empty - Learn & Deploy Streamlit for Data Science Web Apps.mp4 23.5 MB
  • ~Get Your Files Here !/560828-41 - Seaborn Figure in Streamlit Box plot - Learn & Deploy Streamlit for Data Science Web Apps.mp4 23.0 MB
[磁力链接] 添加时间:2022-03-25 大小:1.4 GB 最近下载:2025-08-29 热度:1251

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

  • 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/41. Tuning Hyperparameters.mp4 184.3 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)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 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)/9. 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/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. 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)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-04-27 大小:20.6 GB 最近下载:2025-09-03 热度:1246

[UdemyCourseDownloader] Python 3 Data Science – Time Series with Pandas

  • 03. Python 3 on Raspberry Pi/4. Raspbian OS Setup on Raspberry Pi Part 1.mp4 240.6 MB
  • 18. Python and MySQL/1. MySQL installation on Windows.mp4 222.6 MB
  • 11. Array Manipulation/1. Array Manipulation.mp4 198.6 MB
  • 03. Python 3 on Raspberry Pi/5. Raspbian OS Setup on Raspberry Pi Part 2.mp4 192.8 MB
  • 18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.2 MB
  • 21. Time Series in Pandas/1. Introduction to the Time Series.mp4 167.2 MB
  • 07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.2 MB
  • 14. Plotting in Detail/3. Grid Axes and Labels.mp4 138.0 MB
  • 08. Getting Started with NumPy/2. Ndarrays, Indexing and Slicing.mp4 135.3 MB
  • 03. Python 3 on Raspberry Pi/6. Remotely connect to RPi with VNC.mp4 128.5 MB
  • 18. Python and MySQL/4. Exploring MySQL Workbench.mp4 117.4 MB
  • 17. Data Acquisition with Python, NumPy, and Matplotlib/3. Excel File.mp4 116.3 MB
  • 07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.2 MB
  • 19. Dataframes and Series in Pandas/2. Dataframe.mp4 110.1 MB
  • 09. Array creation routines/4. Numerical Ranges and Matplotlib.mp4 107.6 MB
  • 18. Python and MySQL/6. Connect to MySQL with Python 3.mp4 102.7 MB
  • 16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.4 MB
  • 18. Python and MySQL/7. DDL.mp4 96.3 MB
  • 18. Python and MySQL/8. INSERT.mp4 95.7 MB
  • 04. Python 3 Basics/4. IDLE.mp4 95.2 MB
[磁力链接] 添加时间:2022-03-04 大小:5.7 GB 最近下载:2025-09-03 热度:1245

[GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021

  • 5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.mp4 231.0 MB
  • 7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.mp4 171.4 MB
  • 5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.mp4 114.5 MB
  • 5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.mp4 100.0 MB
  • 6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.mp4 98.4 MB
  • 3. Python Basics/12. Solutions I - Python Solutions.mp4 94.2 MB
  • 4. A Faster Alternative Numpy/2. Numpy Arrays.mp4 94.2 MB
  • 5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 92.7 MB
  • 3. Python Basics/10. Functions - Part II.mp4 92.4 MB
  • 5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.mp4 90.2 MB
  • 5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.mp4 87.0 MB
  • 6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.mp4 81.8 MB
  • 4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.mp4 80.9 MB
  • 5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.mp4 76.3 MB
  • 5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.mp4 73.2 MB
  • 6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.mp4 72.7 MB
  • 4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.mp4 72.0 MB
  • 7. Visualization II - Seaborn/7. Seaborn Grid Plots.mp4 71.4 MB
  • 3. Python Basics/9. Functions - Part I.mp4 70.7 MB
  • 7. Visualization II - Seaborn/3. Seaborn Distribution Plots.mp4 69.8 MB
[磁力链接] 添加时间:2022-02-19 大小:3.5 GB 最近下载:2025-07-08 热度:1242

Python Hands-On Crash Course For Data Science 12+ Projects

  • 44. Introduction To Machine Learning/1. Introduction.mp4 412.5 MB
  • 45. Supervised Machine Learning/1. Supervised Machine Learning.mp4 402.7 MB
  • 40. PROJECT Wikipedia Web Scraping/1. Web Scraping On Wikipedia.mp4 379.2 MB
  • 48. Logistic Regression/1. Introduction 1.mp4 376.9 MB
  • 60. Flask PROJECT and DEPLOYMENT/3. Exploratory Data Analysis (EDA).mp4 367.1 MB
  • 50. Naive Bayes Classifier/2. Lab Session.mp4 327.0 MB
  • 55. K-Means Clustering/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 305.6 MB
  • 46. Linear Regression/4. Lab Session 3 Building Linear Regression Model.mp4 290.1 MB
  • 46. Linear Regression/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 272.6 MB
  • 50. Naive Bayes Classifier/1. Introduction.mp4 269.2 MB
  • 46. Linear Regression/3. Lab Session 2 EDA Dealing With Categorical And Missing Values.mp4 268.9 MB
  • 44. Introduction To Machine Learning/2. Applications Of A.IMachine Learning.mp4 265.6 MB
  • 56. Hierarchical Clustering/3. Lab Session.mp4 252.5 MB
  • 36. PROJECT Facebook Data Analysis with Python/1. Analyze Your Facebook Data Live!!.mp4 248.2 MB
  • 60. Flask PROJECT and DEPLOYMENT/5. Hands-On With Flask.mp4 246.0 MB
  • 42. PROJECT Web Scraping Building Amazon Auto Scraper/3. Building Amazon Auto Scraper.mp4 241.9 MB
  • 48. Logistic Regression/4. Lab Session 2 Exploratory Data Analysis(EDA).mp4 233.5 MB
  • 56. Hierarchical Clustering/1. Introduction.mp4 229.4 MB
  • 60. Flask PROJECT and DEPLOYMENT/4. Model Building.mp4 221.1 MB
  • 41. PROJECT Online Book Store Web Scrapping/2. PART 2 Book Store Web Scrapping.mp4 218.2 MB
[磁力链接] 添加时间:2024-08-11 大小:17.9 GB 最近下载:2025-09-03 热度:1242

[FreeTutorials.Eu] Udemy - TABLEAU 2018 Hands-On Tableau Training For Data Science!

  • 7. Advanced Data Preparation/3. Data Interpreter.mp4 160.5 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 115.3 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/6. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 113.0 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 111.6 MB
  • 8. Clusters, custom territories, design features/7. Modeling With Clusters.mp4 111.5 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 107.2 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 103.7 MB
  • 8. Clusters, custom territories, design features/2. Custom Territories Via Groups.mp4 103.5 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 102.7 MB
  • 8. Clusters, custom territories, design features/1. The Challenge Startup Expansion Analytics.mp4 98.4 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/5. Data Blending in Tableau.mp4 96.8 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 93.0 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 92.2 MB
  • 3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 90.4 MB
  • 9. What's new in Tableau 2018/5. Joining to Spatial Files.mp4 87.5 MB
  • 9. What's new in Tableau 2018/8. Viz in Tolltip.mp4 86.5 MB
  • 9. What's new in Tableau 2018/3. Connecting to PDF.mp4 84.1 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/6. Adding an Interactive Action - Filter.mp4 81.6 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard.mp4 77.0 MB
  • 3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 76.8 MB
[磁力链接] 添加时间:2021-03-19 大小:4.3 GB 最近下载:2025-08-30 热度:1230

Statistics & Applied Data Science - Business Data Analysis

  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/1. Data analysis videos samples of course contents.mp4 202.5 MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/7. Quizzes and examples about data types.mp4 188.1 MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/7. Relationship between standard error and margin of error in confidence interval.mp4 186.8 MB
  • Statistics & Applied Data Science - Business Data Analysis/17. Normal distribution lesson 2/2. Examples about convert normal to standard normal.mp4 129.6 MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/9. a tricky question about standard deviation.mp4 119.0 MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/7. Example about 5 number summary.mp4 114.7 MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/12. t score and t table.mp4 114.4 MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/3. Repeat the same example with CL = 95%.mp4 109.0 MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/6. Examples to find outlier.mp4 103.0 MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/4. The Fun with football goals to find center of the data.mp4 102.4 MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.mp4 92.9 MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/8. Quick Review about what we learned in confidence interval.mp4 90.5 MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/8. What is the benefit of Z table .mp4 88.8 MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/6. Let's start working with simulation tool.mp4 77.3 MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/4. What is the lower limit point of CL = 90% .mp4 73.2 MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/9. Start simulation of 95 confidence interval.mp4 72.8 MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/6. Example about standard deviation.mp4 70.4 MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/13. Use Excel file with two samples mean t test.mp4 66.7 MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/4. Simplified viewpoint about normal distribution.mp4 66.2 MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/22. Questions about what we learned from mini story part 1 .mp4 65.8 MB
[磁力链接] 添加时间:2022-01-10 大小:7.1 GB 最近下载:2025-08-24 热度:1228

[ FreeCourseWeb.com ] Udemy - PySpark for Data Science - Intermediate

  • ~Get Your Files Here !/2. Regression/6. Forest Regration.mp4 118.1 MB
  • ~Get Your Files Here !/2. Regression/5. Generalised Linear Regression.mp4 116.8 MB
  • ~Get Your Files Here !/3. Classification/5. Multinomial Logistic Regression.mp4 101.7 MB
  • ~Get Your Files Here !/3. Classification/3. Binomial Logistic Regression Part 3.mp4 100.0 MB
  • ~Get Your Files Here !/3. Classification/1. Binomial Logistic Regression Part 1.mp4 93.3 MB
  • ~Get Your Files Here !/3. Classification/4. Binomial Logistic Regression Part 4.mp4 92.1 MB
  • ~Get Your Files Here !/2. Regression/1. Liner Regration.mp4 84.9 MB
  • ~Get Your Files Here !/4. Clustering/1. K-Means Model.mp4 84.5 MB
  • ~Get Your Files Here !/2. Regression/4. Prediction.mp4 78.9 MB
  • ~Get Your Files Here !/3. Classification/8. Random Forest.mp4 73.5 MB
  • ~Get Your Files Here !/3. Classification/6. Multinomial Logistic Regression Continue.mp4 71.9 MB
  • ~Get Your Files Here !/3. Classification/7. Decision Tree.mp4 70.6 MB
  • ~Get Your Files Here !/3. Classification/2. Binomial Logistic Regression Part 2.mp4 68.7 MB
  • ~Get Your Files Here !/2. Regression/2. Output Colomn.mp4 60.1 MB
  • ~Get Your Files Here !/2. Regression/3. Test Data.mp4 53.0 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction to Pyspark Intermediate.mp4 19.2 MB
  • ~Get Your Files Here !/2. Regression/5. Generalised Linear Regression.srt 13.3 kB
  • ~Get Your Files Here !/2. Regression/6. Forest Regration.srt 12.6 kB
  • ~Get Your Files Here !/3. Classification/5. Multinomial Logistic Regression.srt 8.4 kB
  • ~Get Your Files Here !/2. Regression/1. Liner Regration.srt 8.4 kB
[磁力链接] 添加时间:2022-04-20 大小:1.3 GB 最近下载:2025-08-26 热度:1223

Udemy - Statistics for Data Science and Business Analysis [720p - WEB HD - H264 - AAC]

  • 17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4 44.5 MB
  • 05 Practical example_ descriptive statistics/025 Practical example.mp4 43.3 MB
  • 09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4 26.5 MB
  • 12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4 20.9 MB
  • 01 Introduction/001 What does the course cover_.mp4 13.3 MB
  • 07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4 13.1 MB
  • 14 Subtleties of regression analysis/078 Adjusted R-squared.mp4 12.5 MB
  • 08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4 12.0 MB
  • 15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4 11.9 MB
  • 02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4 11.9 MB
  • 03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4 11.5 MB
  • 04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4 11.3 MB
  • 11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4 11.2 MB
  • 07 Estimators and estimates/038 Student's T distribution.mp4 10.7 MB
  • 07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4 10.7 MB
  • 04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4 10.5 MB
  • 13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4 10.0 MB
  • 15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4 9.9 MB
  • 10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4 9.8 MB
  • 06 Distributions/032 Understanding the central limit theorem.mp4 9.6 MB
[磁力链接] 添加时间:2021-04-26 大小:581.8 MB 最近下载:2025-08-22 热度:1220

[DesireCourse.Net] Udemy - Intro to Data Science Your Step-by-Step Guide To Starting

  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/2. The 6-Week Data Scientist.mp4 250.2 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/13. Artificial Intelligence.mp4 235.4 MB
  • 6. Section 5 -------------------- Course Conclusion --------------------/1. Course Conclusion.mp4 224.7 MB
  • 4. Section 3 -------------------- Data Science with Python --------------------/9. Python - Step 9.mp4 190.1 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/5. Visualization.mp4 173.8 MB
  • 4. Section 3 -------------------- Data Science with Python --------------------/6. Python - Step 6.mp4 169.9 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/11. Deep Learning and Computer Vision.mp4 169.8 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/10. Deep Learning.mp4 161.4 MB
  • 5. Section 4 -------------------- Data Science with the Cloud --------------------/3. Cloud - Step 3.mp4 154.0 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/12. Deep Learning and NLP.mp4 153.3 MB
  • 3. Section 2 -------------------- Data Science with Tableau --------------------/2. Intro to Tableau - Step 2.mp4 143.7 MB
  • 4. Section 3 -------------------- Data Science with Python --------------------/10. Python - Step 10.mp4 143.6 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/9. Machine Learning.srt 135.1 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/9. Machine Learning.mp4 135.0 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/4. The Data Science Process.mp4 132.8 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/3. Statistics.mp4 129.1 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/7. Databases.mp4 125.9 MB
  • 5. Section 4 -------------------- Data Science with the Cloud --------------------/2. Cloud - Step 2.mp4 124.1 MB
  • 3. Section 2 -------------------- Data Science with Tableau --------------------/3. Intro to Tableau - Step 3.mp4 122.2 MB
  • 5. Section 4 -------------------- Data Science with the Cloud --------------------/1. Cloud - Step 1.mp4 117.5 MB
[磁力链接] 添加时间:2022-02-10 大小:4.5 GB 最近下载:2025-09-02 热度:1216

Lynda.Data.Science.Foundations.Data.Mining

  • 021 Classification in R.mp4 32.1 MB
  • 002 Who should watch this course.mp4 1.8 MB
  • 003 Exercise files.mp4 1.7 MB
  • 004 Data mining prerequisites.mp4 6.0 MB
  • 005 Algorithm prerequisites.mp4 6.0 MB
  • 006 Software prerequisites.mp4 12.3 MB
  • 007 Goals of data reduction.mp4 10.4 MB
  • 008 Data for data reduction.mp4 8.2 MB
  • 009 Data reduction in R.mp4 24.3 MB
  • 010 Data reduction in Python.mp4 9.0 MB
  • 011 Data reduction in Orange.mp4 10.4 MB
  • 012 Data reduction in RapidMiner.mp4 20.6 MB
  • 013 Clustering goals.mp4 6.4 MB
  • 014 Clustering data.mp4 9.5 MB
  • 015 Clustering in R.mp4 15.1 MB
  • 016 Clustering in Python.mp4 7.0 MB
  • 017 Clustering in BigML.mp4 31.1 MB
  • 018 Clustering in Orange.mp4 15.6 MB
  • 019 Classification goals.mp4 6.6 MB
  • 020 Classification data.mp4 12.2 MB
[磁力链接] 添加时间:2017-02-12 大小:658.3 MB 最近下载:2025-03-13 热度:1210

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
  • 17. 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
  • 17. 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
  • 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
  • 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
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB
[磁力链接] 添加时间:2021-04-12 大小:14.2 GB 最近下载:2025-07-03 热度:1210

[FreeCourseWorld.Com] Udemy - R Programming Advanced Analytics In R For Data Science

  • 02 Data Preparation/020 Replacing Missing Data Median Imputation Method (Part 1).mp4 65.0 MB
  • 03 Lists in R/027 Project Brief Machine Utilization.mp4 64.8 MB
  • 02 Data Preparation/006 Updates on Udemy Reviews.mp4 61.2 MB
  • 02 Data Preparation/014 An Elegant Way To Locate Missing Data.mp4 59.8 MB
  • 04 Apply Family of Functions/050 THANK YOU bonus video.mp4 54.8 MB
  • 03 Lists in R/029 Handling Date-Times in R.mp4 52.5 MB
  • 04 Apply Family of Functions/037 Welcome to this section. This is what you will learn.mp4 51.9 MB
  • 04 Apply Family of Functions/043 Using lapply().mp4 51.0 MB
  • 02 Data Preparation/004 Welcome to this section. This is what you will learn.mp4 50.1 MB
  • 01 Welcome To The Course/001 Welcome to the Advanced R Programming Course.mp4 48.4 MB
  • 03 Lists in R/035 Creating A Timeseries Plot.mp4 48.1 MB
  • 02 Data Preparation/012 Dealing with Missing Data.mp4 47.8 MB
  • 03 Lists in R/030 R programming What is a List.mp4 46.9 MB
  • 02 Data Preparation/011 gsub() and sub().mp4 46.1 MB
  • 02 Data Preparation/018 Reseting the dataframe index.mp4 46.0 MB
  • 04 Apply Family of Functions/046 Using sapply().mp4 45.7 MB
  • 04 Apply Family of Functions/048 which.max() and which.min() (advanced topic).mp4 42.4 MB
  • 02 Data Preparation/024 Visualizing results.mp4 42.0 MB
  • 03 Lists in R/033 Adding and deleting components.mp4 40.3 MB
  • 02 Data Preparation/008 What are Factors (Refresher).mp4 39.4 MB
[磁力链接] 添加时间:2021-03-18 大小:1.7 GB 最近下载:2025-09-01 热度:1206

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science with Python A-Z

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-02-18 大小:3.3 GB 最近下载:2025-08-31 热度:1206

[FreeCourseLab.com] Udemy - R Programming Advanced Analytics In R For Data Science

  • 2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
  • 3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
  • 2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
  • 2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
  • 2. Data Preparation/9. Dealing with Missing Data.mp4 44.7 MB
  • 2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
  • 4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
  • 3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
  • 3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
  • 3. Lists in R/5. What is a List.mp4 37.7 MB
  • 4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
  • 2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
  • 3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
  • 4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
  • 2. Data Preparation/21. Visualizing results.mp4 33.4 MB
  • 2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.5 MB
  • 2. Data Preparation/5. What are Factors (Refresher).mp4 30.7 MB
  • 1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
  • 4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
  • 4. Apply Family of Functions/9. Adding your own functions.mp4 29.4 MB
[磁力链接] 添加时间:2021-03-22 大小:1.3 GB 最近下载:2025-08-15 热度:1201

[DesireCourse.Net] Udemy - Statistics for Business Analytics and Data Science A-Z™

  • 3. Central Limit Theorem/8. Hands-On CLT - Analytics Challenge.mp4 189.6 MB
  • 5. Advanced Hypothesis Testing/6. Warning about misuse and overuse of p-values.mp4 55.2 MB
  • 5. Advanced Hypothesis Testing/9. THANK YOU bonus video.mp4 54.8 MB
  • 2. Distributions/10. Homework Solution - Part 1.mp4 54.0 MB
  • 2. Distributions/11. Homework Solution - Part 2.mp4 52.4 MB
  • 5. Advanced Hypothesis Testing/3. T-Tests.mp4 51.9 MB
  • 2. Distributions/2. Updates on Udemy Reviews.mp4 51.3 MB
  • 3. Central Limit Theorem/10. Homework Solution.mp4 45.9 MB
  • 4. Hypothesis Testing Statistical Significance/6. Proportion Testing.mp4 41.6 MB
  • 5. Advanced Hypothesis Testing/5. 2-Tailed Test Exercise.mp4 40.2 MB
  • 4. Hypothesis Testing Statistical Significance/2. Hypothesis Testing - Steps.mp4 38.0 MB
  • 6. Vitaly Dolgov's Guest Section/6. Trends in Analytics - Part 2.mp4 36.0 MB
  • 5. Advanced Hypothesis Testing/1. What it means when you cannot reject the Null Hypothesis.mp4 34.9 MB
  • 4. Hypothesis Testing Statistical Significance/8. Homework Solution.mp4 33.4 MB
  • 5. Advanced Hypothesis Testing/7. Real Life Example.mp4 31.9 MB
  • 2. Distributions/4. What is a Distribution.mp4 27.6 MB
  • 4. Hypothesis Testing Statistical Significance/4. Hypothesis Testing - Rejection Region.mp4 25.9 MB
  • 3. Central Limit Theorem/7. Z-Score.mp4 25.8 MB
  • 2. Distributions/5. What is Standard Deviation.srt 25.7 MB
  • 2. Distributions/5. What is Standard Deviation.mp4 25.6 MB
[磁力链接] 添加时间:2021-04-09 大小:1.3 GB 最近下载:2025-09-03 热度:1201

[GigaCourse.Com] Udemy - Diploma in Python with Data Science and Machine Learning

  • 12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • 12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • 12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • 12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • 12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • 12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • 15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • 17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • 16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • 17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • 13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • 17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • 13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • 14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2024-05-16 大小:13.8 GB 最近下载:2025-09-03 热度:1198

[DesireCourse.Net] 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
  • 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 109.9 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-08-30 热度:1192

Agresti A. Statistics. The Art and Science...from Data 5ed 2023

  • Agresti A. Statistics. The Art and Science...from Data 5ed 2023.pdf 114.5 MB
  • Agresti A. Statistics. The Art and Science...from Data 4ed 2017.pdf 44.3 MB
  • Agresti A. Statistics. The Art and Science...from Data 3ed 2012.pdf 41.5 MB
  • Data_Sets_3ed 2012.rar 62.8 kB
[磁力链接] 添加时间:2024-02-01 大小:200.4 MB 最近下载:2025-09-03 热度:1184

[FreeCourseSite.com] Udemy - Python for Data Science & Machine Learning from A-Z

  • 19. PCA/7. PCA - Image Compression.mp4 262.1 MB
  • 16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
  • 15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
  • 14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
  • 15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
  • 19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
  • 1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
  • 1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
  • 17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
  • 15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
  • 15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
  • 19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
  • 15. Decision Trees/13. Pruning.mp4 118.5 MB
  • 17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
  • 13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
  • 18. K-means/3. Representing Clusters.mp4 114.9 MB
  • 3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
  • 17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
  • 18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
  • 9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
[磁力链接] 添加时间:2022-01-13 大小:7.9 GB 最近下载:2025-08-06 热度:1182


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