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文档列表

7. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.srt 137.3 MB
3. Machine Learning Basics/1. Introduction to Machine Learning.mp4 114.4 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
5. Simple Classification Tree/4. Classification tree in Python Training.mp4 86.7 MB
7. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp4 84.6 MB
6. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp4 81.0 MB
8. Ensemble technique 3 - Boosting/5. Ensemble technique 3c - XGBoost in Python.mp4 78.6 MB
4. Simple Decision trees/14. Pruning a tree in Python.mp4 77.1 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/17. Correlation Analysis.mp4 75.1 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/8. Outlier Treatment in Python.mp4 73.7 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Python Crash Course/2. Opening Jupyter Notebook.mp4 68.4 MB
2. Setting up Python and Python Crash Course/5. Strings in Python Python Basics.mp4 67.6 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/6. EDD in Python.mp4 64.8 MB
2. Setting up Python and Python Crash Course/6. Lists, Tuples and Directories Python Basics.mp4 63.3 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/18. Correlation Analysis in Python.mp4 58.0 MB
2. Setting up Python and Python Crash Course/8. Working with Pandas Library of Python.mp4 49.1 MB
7. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.mp4 49.0 MB
5. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp4 47.6 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/13. Variable transformation and deletion in Python.mp4 46.3 MB
2. Setting up Python and Python Crash Course/7. Working with Numpy Library of Python.mp4 46.0 MB
4. Simple Decision trees/2. Understanding a Regression Tree.mp4 45.8 MB
4. Simple Decision trees/1. Basics of decision trees.mp4 44.7 MB
2. Setting up Python and Python Crash Course/3. Introduction to Jupyter.mp4 42.9 MB
2. Setting up Python and Python Crash Course/9. Working with Seaborn Library of Python.mp4 42.3 MB
8. Ensemble technique 3 - Boosting/3. Ensemble technique 3a - Boosting in Python.mp4 41.8 MB
3. Machine Learning Basics/2. Building a Machine Learning Model.mp4 41.4 MB
4. Simple Decision trees/4. The Data set for the Course.mp4 39.0 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/15. Dummy variable creation Handling qualitative data.mp4 38.6 MB
8. Ensemble technique 3 - Boosting/1. Boosting.mp4 32.0 MB
8. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.mp4 32.0 MB
5. Simple Classification Tree/1. Classification tree.mp4 29.6 MB
6. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.mp4 29.5 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/4. Importing Data in Python.mp4 29.2 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/16. Dummy variable creation in Python.mp4 27.8 MB
4. Simple Decision trees/5. Importing Data in Python.mp4 27.1 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/9. Missing Value Imputation.mp4 26.2 MB
4. Simple Decision trees/7. Dummy Variable creation in Python.mp4 26.2 MB
4. Simple Decision trees/9. Test-Train split in Python.mp4 26.1 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/7. Outlier Treatment.mp4 25.7 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/5. Univariate analysis and EDD.mp4 25.4 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/10. Missing Value Imputation in Python.mp4 24.5 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/1. Gathering Business Knowledge.mp4 23.4 MB
4. Simple Decision trees/12. Plotting decision tree in Python.mp4 22.5 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/2. Data Exploration.mp4 21.5 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/14. Non-usable variables.mp4 21.2 MB
1. Introduction/1. Welcome to the Course!.mp4 19.5 MB
5. Simple Classification Tree/2. The Data set for Classification problem.mp4 19.5 MB
4. Simple Decision trees/13. Pruning a tree.mp4 19.4 MB
7. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.mp4 19.1 MB
4. Simple Decision trees/6. Missing value treatment in Python.mp4 18.8 MB
4. Simple Decision trees/10. Creating Decision tree in Python.mp4 18.8 MB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/11. Seasonality in Data.mp4 17.8 MB
4. Simple Decision trees/11. Evaluating model performance in Python.mp4 17.2 MB
2. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp4 17.1 MB
4. Simple Decision trees/8. Dependent- Independent Data split in Python.mp4 15.9 MB
4. Simple Decision trees/3. The stopping criteria for controlling tree growth.mp4 14.6 MB
2. Setting up Python and Python Crash Course/4. Arithmetic operators in Python Python Basics.mp4 13.4 MB
5. Simple Classification Tree/5. Advantages and Disadvantages of Decision Trees.mp4 7.2 MB
1. Introduction/2.1 Files_DT_py.zip 3.2 MB
2. Setting up Python and Python Crash Course/8.3 Sales.csv 1.0 MB
1. Introduction/1.1 00_Intro.pdf 343.0 kB
6. Ensemble technique 1 - Bagging/1.1 07_Bagging.pdf 311.0 kB
4. Simple Decision trees/13.1 05_Prune.pdf 234.0 kB
4. Simple Decision trees/2.1 03_Concepts.pdf 227.0 kB
5. Simple Classification Tree/1.1 06_Decision Tree - Class.pdf 214.2 kB
4. Simple Decision trees/1.1 02_Decision Tree.pdf 210.8 kB
8. Ensemble technique 3 - Boosting/1.1 09_Boosting.pdf 182.3 kB
7. Ensemble technique 2 - Random Forests/1.2 08_Random_Forest.pdf 172.4 kB
4. Simple Decision trees/3.1 04_Stop_condition.pdf 158.5 kB
2. Setting up Python and Python Crash Course/8.2 Product.csv 153.1 kB
5. Simple Classification Tree/5.1 10_Adv_disadv.pdf 149.0 kB
2. Setting up Python and Python Crash Course/8.1 Customer.csv 65.6 kB
4. Simple Decision trees/4.1 Movie_classification.csv 55.6 kB
5. Simple Classification Tree/2.1 Movie_classification.csv 55.6 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/4.1 House_Price.csv 54.8 kB
4. Simple Decision trees/4.2 Movie_regression.csv 54.5 kB
7. Ensemble technique 2 - Random Forests/1.1 Slide_1_image.PNG 47.0 kB
3. Machine Learning Basics/1. Introduction to Machine Learning.srt 18.9 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/12. Bi-variate analysis and Variable transformation.srt 18.7 kB
2. Setting up Python and Python Crash Course/6. Lists, Tuples and Directories Python Basics.srt 17.4 kB
2. Setting up Python and Python Crash Course/5. Strings in Python Python Basics.srt 16.8 kB
5. Simple Classification Tree/4. Classification tree in Python Training.srt 13.5 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/8. Outlier Treatment in Python.srt 13.3 kB
7. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.srt 12.7 kB
2. Setting up Python and Python Crash Course/3. Introduction to Jupyter.srt 12.7 kB
6. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.srt 11.6 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/17. Correlation Analysis.srt 11.3 kB
4. Simple Decision trees/2. Understanding a Regression Tree.srt 10.9 kB
2. Setting up Python and Python Crash Course/7. Working with Numpy Library of Python.srt 10.7 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/6. EDD in Python.srt 10.6 kB
4. Simple Decision trees/1. Basics of decision trees.srt 10.6 kB
4. Simple Decision trees/14. Pruning a tree in Python.srt 10.4 kB
8. Ensemble technique 3 - Boosting/5. Ensemble technique 3c - XGBoost in Python.srt 10.4 kB
3. Machine Learning Basics/2. Building a Machine Learning Model.srt 9.9 kB
2. Setting up Python and Python Crash Course/2. Opening Jupyter Notebook.srt 9.4 kB
2. Setting up Python and Python Crash Course/8. Working with Pandas Library of Python.srt 8.3 kB
5. Simple Classification Tree/3. Classification tree in Python Preprocessing.srt 8.3 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/3. The Dataset and the Data Dictionary.srt 8.0 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/13. Variable transformation and deletion in Python.srt 7.7 kB
2. Setting up Python and Python Crash Course/9. Working with Seaborn Library of Python.srt 7.7 kB
8. Ensemble technique 3 - Boosting/1. Boosting.srt 7.5 kB
6. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.srt 6.7 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/18. Correlation Analysis in Python.srt 6.7 kB
5. Simple Classification Tree/1. Classification tree.srt 6.3 kB
4. Simple Decision trees/9. Test-Train split in Python.srt 5.9 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/4. Importing Data in Python.srt 5.7 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/16. Dummy variable creation in Python.srt 5.6 kB
8. Ensemble technique 3 - Boosting/3. Ensemble technique 3a - Boosting in Python.srt 5.6 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/14. Non-usable variables.srt 5.5 kB
4. Simple Decision trees/5. Importing Data in Python.srt 5.4 kB
4. Simple Decision trees/12. Plotting decision tree in Python.srt 5.0 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/15. Dummy variable creation Handling qualitative data.srt 5.0 kB
4. Simple Decision trees/7. Dummy Variable creation in Python.srt 4.8 kB
4. Simple Decision trees/11. Evaluating model performance in Python.srt 4.6 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/7. Outlier Treatment.srt 4.6 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/9. Missing Value Imputation.srt 4.2 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/10. Missing Value Imputation in Python.srt 4.2 kB
7. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.srt 4.1 kB
2. Setting up Python and Python Crash Course/4. Arithmetic operators in Python Python Basics.srt 4.1 kB
8. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.srt 4.0 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/1. Gathering Business Knowledge.srt 4.0 kB
4. Simple Decision trees/13. Pruning a tree.srt 4.0 kB
4. Simple Decision trees/8. Dependent- Independent Data split in Python.srt 3.9 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/11. Seasonality in Data.srt 3.9 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/2. Data Exploration.srt 3.7 kB
4. Simple Decision trees/10. Creating Decision tree in Python.srt 3.7 kB
9. Add-on 1 Preprocessing and Preparing Data before making ML model/5. Univariate analysis and EDD.srt 3.5 kB
4. Simple Decision trees/3. The stopping criteria for controlling tree growth.srt 3.4 kB
1. Introduction/1. Welcome to the Course!.srt 3.4 kB
4. Simple Decision trees/6. Missing value treatment in Python.srt 3.2 kB
4. Simple Decision trees/4. The Data set for the Course.srt 3.1 kB
2. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.srt 2.6 kB
5. Simple Classification Tree/2. The Data set for Classification problem.srt 1.9 kB
5. Simple Classification Tree/5. Advantages and Disadvantages of Decision Trees.srt 1.7 kB
10. Conclusion/1. Congratulations & About your certificate.html 1.6 kB
10. Conclusion/2. Bonus Lecture.html 1.4 kB
0. Extras (Coupons & Freebies)/Readme.txt 962 Bytes
0. Websites You May Like/Readme.txt 962 Bytes
8. Ensemble technique 3 - Boosting/2. Quiz.html 161 Bytes
8. Ensemble technique 3 - Boosting/6. Quiz.html 161 Bytes
8. Ensemble technique 3 - Boosting/7. Quiz.html 161 Bytes
0. Extras (Coupons & Freebies)/100 % OFF Lifetime Access Coupons.url 131 Bytes
0. Extras (Coupons & Freebies)/Free Udemy Coupons.url 131 Bytes
0. Websites You May Like/100 % OFF Lifetime Access Coupons.url 131 Bytes
0. Websites You May Like/Free Udemy Coupons.url 131 Bytes
1. Introduction/2. Course Resources.html 109 Bytes
0. Extras (Coupons & Freebies)/[GigaCourse.com].url 49 Bytes
0. Websites You May Like/[GigaCourse.com].url 49 Bytes
[GigaCourse.com].url 49 Bytes

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