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[Udemy] Machine Learning in Python with 5 Machine Learning Projects [04.2021, ENG]

by MrAdvertise - 10 July, 2022 - 10:42 AM
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Udemy link: https://www.udemy.com/course/machine-lea...ce-python/

Release Date: 04.2021
Duration: 24 hours 11 minutes
Language: English
Owner: https://www.udemy.com/user/data-is-good-2/

Content:
Code:
./[Udemy] Machine Learning in Python with 5 Machine Learning Projects (04.2021) - 20.82 GB 

    1. Python Fundamentals - 1.03 GB 
    10. Logistic Regression - 834.99 MB 
    11. Introduction to KNN, SVM, Naive Bayes - 690.01 MB 
    12. Tree Based Models - 625.49 MB 
    13. Boosting Models - 608.46 MB 
    14. Imbalanced Machine Learning - 782.01 MB 
    15. Introduction to Clustering Analysis - 867.17 MB 
    16. Dimensionality Reduction - 1.02 GB 
    17. Recommendation Engines - 1.34 GB 
    18. Time Series Forecasting - 2.40 GB 
    19. Employee Promotion Prediction - 860.95 MB 
    2. Python for Data Analysis - 1.30 GB 
    20. Predicting Health Expense of Customers - 1006.87 MB 
    21. Determining Whether a Person should be Granted Loan - 667.91 MB 
    22. Optimizing Agricultural Production - 449.68 MB 
    3. Python Functions Deep Dive - 961.41 MB 
    4. Python for Data Science - 922.42 MB 
    5. Data Cleaning - 1.19 GB 
    6. Data Visualizations - 1.17 GB 
    7. Feature Engineering - 1.03 GB 
    8. Data Processing - 435.60 MB 
    9. Linear Regression - 826.27 MB

Download:

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Nice contribution
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(10 July, 2022 - 10:42 AM)Disrupt Wrote: Show More
Udemy link: https://www.udemy.com/course/machine-lea...ce-python/

Release Date: 04.2021
Duration: 24 hours 11 minutes
Language: English
Owner: https://www.udemy.com/user/data-is-good-2/

Content:
Code:
./[Udemy] Machine Learning in Python with 5 Machine Learning Projects (04.2021) - 20.82 GB 

    1. Python Fundamentals - 1.03 GB 
    10. Logistic Regression - 834.99 MB 
    11. Introduction to KNN, SVM, Naive Bayes - 690.01 MB 
    12. Tree Based Models - 625.49 MB 
    13. Boosting Models - 608.46 MB 
    14. Imbalanced Machine Learning - 782.01 MB 
    15. Introduction to Clustering Analysis - 867.17 MB 
    16. Dimensionality Reduction - 1.02 GB 
    17. Recommendation Engines - 1.34 GB 
    18. Time Series Forecasting - 2.40 GB 
    19. Employee Promotion Prediction - 860.95 MB 
    2. Python for Data Analysis - 1.30 GB 
    20. Predicting Health Expense of Customers - 1006.87 MB 
    21. Determining Whether a Person should be Granted Loan - 667.91 MB 
    22. Optimizing Agricultural Production - 449.68 MB 
    3. Python Functions Deep Dive - 961.41 MB 
    4. Python for Data Science - 922.42 MB 
    5. Data Cleaning - 1.19 GB 
    6. Data Visualizations - 1.17 GB 
    7. Feature Engineering - 1.03 GB 
    8. Data Processing - 435.60 MB 
    9. Linear Regression - 826.27 MB

Download:
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