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1. Install Anaconda package.mp4
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48.1 MB
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1. Install Anaconda package.srt
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7.3 KB
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1. Introduction to Course.mp4
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12 MB
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1. Introduction to Course.srt
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2.4 KB
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1. Introduction to Deep Learning.mp4
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36.9 MB
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1. Introduction to Deep Learning.srt
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1. Introduction to Supervised Learning Algorithms.mp4
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6.3 MB
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1. Introduction to Supervised Learning Algorithms.srt
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1.3 KB
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1. Review Unsupervised Learning Algorithms.mp4
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1. Review Unsupervised Learning Algorithms.srt
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1.8 KB
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10. Create K-means Clustering Algorithm Model in Python - 2.mp4
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33 MB
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10. Create K-means Clustering Algorithm Model in Python - 2.srt
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3.7 KB
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10. Machine Leaning Types.html
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204 B
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10. P-Value.mp4
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17.4 MB
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10. P-Value.srt
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4.2 KB
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10. The Newer Version of Keras Python code to Create the Model and Add the Layers.html
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1.3 KB
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11. Association Rules (Market Basket Analysis).mp4
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MP4
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52.2 MB
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11. Association Rules (Market Basket Analysis).srt
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SRT
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11.5 KB
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11. Course Rating.html
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HTML
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512 B
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11. Create Artificial Neural Network Model in Python Part-4.mp4
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MP4
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22 MB
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11. Create Artificial Neural Network Model in Python Part-4.srt
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2.3 KB
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11. Simple Linear Regression.mp4
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3.7 MB
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11. Simple Linear Regression.srt
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1 KB
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12. Concepts used in Machine Learning (Important).html
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HTML
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204 B
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12. Course Rating.html
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HTML
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512 B
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12. Overview on the business problem data.mp4
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MP4
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13.5 MB
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12. Overview on the business problem data.srt
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2 KB
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12.1 GroceryStoreDataSet.csv
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512 B
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13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4
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MP4
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69.4 MB
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13. Create Association Rules (Market Basket Analysis) Model in Python - 1.srt
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10.3 KB
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13. Overview on the dataset.mp4
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7.9 MB
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13. Overview on the dataset.srt
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1.5 KB
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13.1 Study_Hours.csv
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307 B
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13.1 apyori.py
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PY
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14.2 KB
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13.2 AR.py
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PY
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512 B
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14. Create Association Rules (Market Basket Analysis) Model in Python - 2.mp4
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MP4
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33.3 MB
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14. Create Association Rules (Market Basket Analysis) Model in Python - 2.srt
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5.1 KB
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14. Create Simple Linear Regression Model in Python-Part 1.mp4
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30.9 MB
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14. Create Simple Linear Regression Model in Python-Part 1.srt
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5.5 KB
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14.1 SLR.py
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1.2 KB
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15. Create Association Rules (Market Basket Analysis) Model in Python - 3.mp4
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MP4
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28.6 MB
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15. Create Association Rules (Market Basket Analysis) Model in Python - 3.srt
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2.8 KB
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15. Create Simple Linear Regression Model in Python-Part 2.mp4
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MP4
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129.3 MB
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15. Create Simple Linear Regression Model in Python-Part 2.srt
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13.2 KB
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16. Create Simple Linear Regression Model in Python-Part 3.mp4
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MP4
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66.1 MB
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16. Create Simple Linear Regression Model in Python-Part 3.srt
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6.4 KB
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17. Create Simple Linear Regression Model in Python-Part 4.mp4
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MP4
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70.3 MB
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17. Create Simple Linear Regression Model in Python-Part 4.srt
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6.9 KB
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18. Multiple Linear Regression.mp4
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14.2 MB
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18. Multiple Linear Regression.srt
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2.9 KB
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19. Dummy Variables.mp4
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36.4 MB
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19. Dummy Variables.srt
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2. Course Contents.mp4
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10.1 MB
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2. Course Contents.srt
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1.7 KB
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2. Hierarchical Clustering Algorithm.mp4
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9.9 MB
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2. Hierarchical Clustering Algorithm.srt
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4.1 KB
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2. Types of Variables.mp4
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10.3 MB
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2. Types of Variables.srt
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2. Use Deep Learning in Classification.mp4
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14.1 MB
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2. Use Deep Learning in Classification.srt
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2.7 KB
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20. Dummy Variables Trap.html
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614 B
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21. Step-wise Approach.mp4
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MP4
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28.8 MB
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21. Step-wise Approach.srt
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7 KB
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22. Assumptions of Multiple Linear Regression.mp4
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31.3 MB
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22. Assumptions of Multiple Linear Regression.srt
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9.4 KB
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23. Overview on the business problem data.mp4
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MP4
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8.7 MB
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23. Overview on the business problem data.srt
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1.5 KB
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23.1 Companies spends and profits.csv
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CSV
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3.2 KB
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24. Create Multiple Linear Regression Model in Python-Part 1.mp4
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MP4
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172.6 MB
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24. Create Multiple Linear Regression Model in Python-Part 1.srt
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16.9 KB
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24.1 MLR.py
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PY
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2.1 KB
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25. Create Multiple Linear Regression Model in Python-Part 2.mp4
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MP4
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141.3 MB
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25. Create Multiple Linear Regression Model in Python-Part 2.srt
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12.9 KB
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26. Create Multiple Linear Regression Model in Python-Part 3.mp4
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MP4
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138.1 MB
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26. Create Multiple Linear Regression Model in Python-Part 3.srt
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11.6 KB
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27. Create Multiple Linear Regression Model in Python-Part 4.mp4
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MP4
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82.3 MB
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27. Create Multiple Linear Regression Model in Python-Part 4.srt
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8 KB
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28. Polynomial Regression.mp4
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10.6 MB
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28. Polynomial Regression.srt
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2.3 KB
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29. Overview on the business problem data.mp4
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7.2 MB
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29. Overview on the business problem data.srt
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1.3 KB
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29.1 Reward_system.csv
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204 B
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3. Data Types.html
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204 B
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3. Dendrogram Diagram Method.mp4
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28.6 MB
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3. Dendrogram Diagram Method.srt
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6.9 KB
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3. How Does Deep Learning Work.mp4
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27.6 MB
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3. How Does Deep Learning Work.srt
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3. Introduction to Data Mining.mp4
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42.8 MB
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3. Introduction to Data Mining.srt
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10.8 KB
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30. Create Polynomial Regression Model in Python-Part 1.mp4
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79.4 MB
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30. Create Polynomial Regression Model in Python-Part 1.srt
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9.7 KB
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30.1 PR.py
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31. Create Polynomial Regression Model in Python-Part 2.mp4
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124.4 MB
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31. Create Polynomial Regression Model in Python-Part 2.srt
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13.4 KB
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32. Course Rating.html
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512 B
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33. Introduction to Classification.mp4
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19.9 MB
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33. Introduction to Classification.srt
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34. Introduction to Logistic Regression.mp4
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29.1 MB
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34. Introduction to Logistic Regression.srt
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35. Confusion Matrix.mp4
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15.6 MB
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35. Confusion Matrix.srt
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36. Standard Scaler.mp4
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12.2 MB
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36. Standard Scaler.srt
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3.3 KB
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37. Overview on the business problem data.mp4
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MP4
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10.3 MB
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37. Overview on the business problem data.srt
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1.8 KB
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37.1 Bank_Data.csv
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17.2 KB
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38. Create Logistic Regression Model in Python-Part 1.mp4
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MP4
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112 MB
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38. Create Logistic Regression Model in Python-Part 1.srt
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12.9 KB
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38.1 LR.py
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1.1 KB
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39. Create Logistic Regression Model in Python-Part 2.mp4
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59.6 MB
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39. Create Logistic Regression Model in Python-Part 2.srt
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6.8 KB
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4. Activation Functions.mp4
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34.8 MB
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4. Activation Functions.srt
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7.3 KB
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4. Data Mining Definition.html
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204 B
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4. Introduction to Regression Model.mp4
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21.3 MB
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4. Introduction to Regression Model.srt
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4.9 KB
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4. Overview on the business problem data.mp4
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4.2 MB
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4. Overview on the business problem data.srt
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819 B
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40. KNN Classification Algorithm.mp4
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15.3 MB
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40. KNN Classification Algorithm.srt
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4.4 KB
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41. Create KNN Model in Python.mp4
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65.2 MB
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41. Create KNN Model in Python.srt
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8.2 KB
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41.1 K-NN.py
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1.2 KB
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41.2 Bank_Data.csv
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42. Support Vector Machine (SVM) Classification Algorithm.mp4
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17.8 MB
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42. Support Vector Machine (SVM) Classification Algorithm.srt
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4 KB
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43. Create Support Vector Machine in Python.mp4
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MP4
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53.1 MB
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43. Create Support Vector Machine in Python.srt
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7.7 KB
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43.1 SVM.py
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44. Naive Bayes Algorithm Part 1.mp4
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19.8 MB
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44. Naive Bayes Algorithm Part 1.srt
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45. Naive Bayes Algorithm Part 2.mp4
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27.9 MB
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45. Naive Bayes Algorithm Part 2.srt
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7 KB
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46. Create Naive Bayes Model in Python.mp4
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28.9 MB
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46. Create Naive Bayes Model in Python.srt
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3.8 KB
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46.1 Naive_Bayes.py
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1.1 KB
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47. Decision Tree Algorithm.mp4
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34.5 MB
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47. Decision Tree Algorithm.srt
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7.9 KB
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48. Create Decision Tree Model in Python.mp4
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MP4
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33.6 MB
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48. Create Decision Tree Model in Python.srt
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3.5 KB
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48.1 Bank_Data.csv
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17.2 KB
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48.2 Decision Tree.py
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1.1 KB
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49. Random Forest Algorithm.mp4
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6.1 MB
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49. Random Forest Algorithm.srt
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1.4 KB
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5. Create Hierarchical Clustering Algorithm in Python-1.mp4
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MP4
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128.3 MB
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5. Create Hierarchical Clustering Algorithm in Python-1.srt
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13.7 KB
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5. Introduction to Machine Learning.mp4
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MP4
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14.3 MB
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5. Introduction to Machine Learning.srt
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3.1 KB
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5. Regression Model.html
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204 B
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5. What is Tensorflow.mp4
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MP4
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7 MB
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5. What is Tensorflow.srt
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2.6 KB
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5.1 Hierarchical Clustering.py
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PY
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1.2 KB
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5.2 Movies.csv
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50. Create Random Forest Model in Python.mp4
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MP4
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69.4 MB
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50. Create Random Forest Model in Python.srt
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6.4 KB
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50.1 Random_Forest.py
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PY
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1.2 KB
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51. Course Rating.html
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HTML
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512 B
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6. Create Hierarchical Clustering Algorithm in Python-2.mp4
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MP4
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72.1 MB
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6. Create Hierarchical Clustering Algorithm in Python-2.srt
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7.3 KB
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6. Introduction to the Deep Learning Problem and Dataset.mp4
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MP4
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9 MB
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6. Introduction to the Deep Learning Problem and Dataset.srt
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1.1 KB
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6. Machine Leaning Sub-fields..html
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204 B
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6. Regression Model Slope.mp4
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31.2 MB
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6. Regression Model Slope.srt
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7. Create Artificial Neural Network Model in Python Part-1.mp4
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MP4
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64.9 MB
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7. Create Artificial Neural Network Model in Python Part-1.srt
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7 KB
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7. How Does Machine Learning Work.mp4
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MP4
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19.5 MB
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7. How Does Machine Learning Work.srt
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4.5 KB
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7. K-means Clustering Algorithm.mp4
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MP4
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16.2 MB
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7. K-means Clustering Algorithm.srt
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4 KB
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7. Regression Slope.html
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204 B
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7.1 M_ANN.py
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PY
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1.5 KB
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7.2 Medical_data.csv
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23.5 KB
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8. Create Artificial Neural Network Model in Python Part-2.mp4
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MP4
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69 MB
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8. Create Artificial Neural Network Model in Python Part-2.srt
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9.9 KB
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8. The Intercept Value.html
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HTML
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204 B
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8. Train and Test Sets..html
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HTML
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204 B
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8. Using Elbow Method to Determine Optimal Number of Clusters.mp4
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MP4
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48.8 MB
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8. Using Elbow Method to Determine Optimal Number of Clusters.srt
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11.3 KB
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9. Create Artificial Neural Network Model in Python Part-3.mp4
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MP4
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65.6 MB
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9. Create Artificial Neural Network Model in Python Part-3.srt
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6.5 KB
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9. Create K-means Clustering Algorithm Model in Python - 1.mp4
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MP4
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78.6 MB
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9. Create K-means Clustering Algorithm Model in Python - 1.srt
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8.6 KB
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9. Machine Learning Algorithms Types.mp4
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40.8 MB
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9. Machine Learning Algorithms Types.srt
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8.2 KB
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9. R-Squared.mp4
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29.1 MB
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9. R-Squared.srt
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8.2 KB
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9.1 Link to the Keras documentation website..html
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102 B
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9.1 kmeans.py
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PY
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1.2 KB
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9.2 Movies.csv
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CSV
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1.7 KB
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TutsNode.com.txt
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TXT
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102 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614 B
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