[GigaCourse.Com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass


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File Size:   11.77 GB
Creat Time:   2024-05-30
Active Degree:   54
Last Active:   2024-10-24
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Tags:    GigaCourse Com Udemy - 2022 Python for Machine Learning Data Science Masterclass
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File List

  1. 23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 214.25 MB
  2. 05 - Pandas/028 Pandas Project Exercise Solutions.mp4 176.69 MB
  3. 13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 165.16 MB
  4. 08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 140.69 MB
  5. 17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 133.50 MB
  6. 19 - Supervised Learning Capstone Project/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 133.27 MB
  7. 05 - Pandas/026 Pandas Pivot Tables.mp4 132.19 MB
  8. 24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 131.00 MB
  9. 25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 122.32 MB
  10. 11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 120.38 MB
  11. 16 - Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 118.58 MB
  12. 23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 117.74 MB
  13. 19 - Supervised Learning Capstone Project/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 116.95 MB
  14. 07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 113.97 MB
  15. 08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 113.26 MB
  16. 26 - Model Deployment/003 Model Persistence.mp4 112.40 MB
  17. 24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 111.71 MB
  18. 22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 110.79 MB
  19. 08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 108.72 MB
  20. 19 - Supervised Learning Capstone Project/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 108.65 MB
  21. 06 - Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 108.40 MB
  22. 07 - Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 108.25 MB
  23. 11 - Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 107.74 MB
  24. 13 - Logistic Regression/014 Multi-Class Classification with Logistic Regression - Part Two - Model.mp4 107.61 MB
  25. 24 - DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 107.61 MB
  26. 14 - KNN - K Nearest Neighbors/006 KNN Classification Project Exercise Solutions.mp4 107.55 MB
  27. 11 - Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 105.80 MB
  28. 14 - KNN - K Nearest Neighbors/004 KNN Coding with Python - Part Two - Choosing K.mp4 105.33 MB
  29. 05 - Pandas/023 Pandas Input and Output - HTML Tables.mp4 104.79 MB
  30. 20 - Naive Bayes Classification and Natural Language Processing/010 Text Classification Project Exercise Solutions.mp4 103.01 MB
  31. 04 - NumPy/002 NumPy Arrays.mp4 101.84 MB
  32. 16 - Tree Based Methods_ Decision Tree Learning/007 Coding Decision Trees - Part One - The Data.mp4 101.09 MB
  33. 22 - K-Means Clustering/004 K-Means Clustering - Coding Part One.mp4 100.25 MB
  34. 05 - Pandas/004 DataFrames - Part One - Creating a DataFrame.mp4 99.82 MB
  35. 06 - Matplotlib/006 Matplotlib - Subplots Functionality.mp4 98.88 MB
  36. 05 - Pandas/025 Pandas Input and Output - SQL Databases.mp4 98.29 MB
  37. 25 - PCA - Principal Component Analysis and Manifold Learning/004 PCA - Manual Implementation in Python.mp4 97.33 MB
  38. 10 - Linear Regression/024 L1 Regularization - Lasso Regression - Background and Implementation.mp4 96.92 MB
  39. 15 - Support Vector Machines/010 Support Vector Machine Project Solutions.mp4 95.60 MB
  40. 05 - Pandas/015 GroupBy Operations - Part Two - MultiIndex.mp4 95.09 MB
  41. 12 - Cross Validation , Grid Search, and the Linear Regression Project/008 Linear Regression Project - Solutions.mp4 93.42 MB
  42. 15 - Support Vector Machines/007 SVM with Scikit-Learn and Python - Classification Part Two.mp4 92.80 MB
  43. 10 - Linear Regression/023 L2 Regularization - Ridge Regression - Python Implementation.mp4 91.51 MB
  44. 07 - Seaborn Data Visualizations/011 Seaborn Grid Plots.mp4 89.09 MB
  45. 05 - Pandas/014 GroupBy Operations - Part One.mp4 89.05 MB
  46. 10 - Linear Regression/003 Linear Regression - Understanding Ordinary Least Squares.mp4 88.45 MB
  47. 05 - Pandas/010 Pandas - Useful Methods - Apply on Multiple Columns.mp4 87.36 MB
  48. 17 - Random Forests/009 Coding Regression with Random Forest Regressor - Part Two - Basic Models.mp4 87.05 MB
  49. 07 - Seaborn Data Visualizations/008 Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 86.60 MB
  50. 01 - Introduction to Course/003 Anaconda Python and Jupyter Install and Setup.mp4 86.56 MB

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