Udemy - Machine Learning A-Z Become Kaggle Master

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1. Python Fundamentals/1. Introduction to the course.mp4 98.41MB
1. Python Fundamentals/1. Introduction to the course.vtt 16.72kB
1. Python Fundamentals/10. Functions.mp4 89.78MB
1. Python Fundamentals/10. Functions.vtt 14.85kB
1. Python Fundamentals/11. String Part1.mp4 111.16MB
1. Python Fundamentals/11. String Part1.vtt 15.90kB
1. Python Fundamentals/12. String Part2.mp4 28.71MB
1. Python Fundamentals/12. String Part2.vtt 3.53kB
1. Python Fundamentals/13. List Part1.mp4 10.53MB
1. Python Fundamentals/13. List Part1.vtt 2.98kB
1. Python Fundamentals/14. List Part2.mp4 91.56MB
1. Python Fundamentals/14. List Part2.vtt 13.49kB
1. Python Fundamentals/15. List Part3.mp4 77.13MB
1. Python Fundamentals/15. List Part3.vtt 10.72kB
1. Python Fundamentals/16. List Part4.mp4 66.95MB
1. Python Fundamentals/16. List Part4.vtt 10.68kB
1. Python Fundamentals/17. Tuples.mp4 70.60MB
1. Python Fundamentals/17. Tuples.vtt 10.42kB
1. Python Fundamentals/18. Sets.mp4 60.98MB
1. Python Fundamentals/18. Sets.vtt 7.99kB
1. Python Fundamentals/19. Dictionaries.mp4 64.59MB
1. Python Fundamentals/19. Dictionaries.vtt 8.52kB
1. Python Fundamentals/2. Introduction to Kaggle.mp4 94.44MB
1. Python Fundamentals/2. Introduction to Kaggle.vtt 11.41kB
1. Python Fundamentals/20. Comprehentions.mp4 73.97MB
1. Python Fundamentals/20. Comprehentions.vtt 8.28kB
1. Python Fundamentals/3. Installation of Python and Anaconda.mp4 86.29MB
1. Python Fundamentals/3. Installation of Python and Anaconda.vtt 11.38kB
1. Python Fundamentals/3.1 Python-code-udemy.zip.zip 16.81kB
1. Python Fundamentals/3.2 Installing-Python.Teclov.pdf.pdf 1.44MB
1. Python Fundamentals/4. Python Introduction.mp4 10.75MB
1. Python Fundamentals/4. Python Introduction.vtt 3.63kB
1. Python Fundamentals/4.1 Python-code-udemy.zip.zip 16.81kB
1. Python Fundamentals/5. Variables in Python.mp4 115.83MB
1. Python Fundamentals/5. Variables in Python.vtt 21.23kB
1. Python Fundamentals/6. Numeric Operations in Python.mp4 38.71MB
1. Python Fundamentals/6. Numeric Operations in Python.vtt 7.31kB
1. Python Fundamentals/7. Logical Operations.mp4 18.16MB
1. Python Fundamentals/7. Logical Operations.vtt 3.30kB
1. Python Fundamentals/8. If else Loop.mp4 67.12MB
1. Python Fundamentals/8. If else Loop.vtt 10.27kB
1. Python Fundamentals/9. for while Loop.mp4 81.56MB
1. Python Fundamentals/9. for while Loop.vtt 13.30kB
10. Multiple Linear Regression/1. Introduction.mp4 17.26MB
10. Multiple Linear Regression/1. Introduction.vtt 3.72kB
10. Multiple Linear Regression/1.1 Multplr_LR_Code_for Udemy.zip.zip 533.52kB
10. Multiple Linear Regression/10. Case Study Part5.mp4 47.95MB
10. Multiple Linear Regression/10. Case Study Part5.vtt 6.25kB
10. Multiple Linear Regression/11. Case Study Part6 (RFE).mp4 67.26MB
10. Multiple Linear Regression/11. Case Study Part6 (RFE).vtt 8.43kB
10. Multiple Linear Regression/2. Case Study part1.mp4 87.07MB
10. Multiple Linear Regression/2. Case Study part1.vtt 8.71kB
10. Multiple Linear Regression/3. Case Study part2.mp4 103.19MB
10. Multiple Linear Regression/3. Case Study part2.vtt 12.48kB
10. Multiple Linear Regression/4. Case Study part3.mp4 72.01MB
10. Multiple Linear Regression/4. Case Study part3.vtt 7.93kB
10. Multiple Linear Regression/5. Adjusted R Square.mp4 8.48MB
10. Multiple Linear Regression/5. Adjusted R Square.vtt 0.86kB
10. Multiple Linear Regression/6. Case Study Part1.mp4 71.88MB
10. Multiple Linear Regression/6. Case Study Part1.vtt 9.04kB
10. Multiple Linear Regression/7. Case Study Part2.mp4 76.44MB
10. Multiple Linear Regression/7. Case Study Part2.vtt 12.61kB
10. Multiple Linear Regression/8. Case Study Part3.mp4 69.79MB
10. Multiple Linear Regression/8. Case Study Part3.vtt 7.83kB
10. Multiple Linear Regression/9. Case Study Part4.mp4 138.62MB
10. Multiple Linear Regression/9. Case Study Part4.vtt 18.25kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.mp4 42.83MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.vtt 6.39kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1.1 Hotstarcode-for-udemy.zip.zip 260.71kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.mp4 85.31MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.vtt 12.18kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.mp4 57.74MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.vtt 5.98kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.mp4 92.06MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.vtt 9.54kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.mp4 50.87MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.vtt 4.76kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.mp4 41.41MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.vtt 4.86kB
12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.mp4 64.22MB
12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.vtt 18.00kB
12. Gradient Descent/1.1 Gradient+Descent+Updated.zip.zip 165.02kB
12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.mp4 34.49MB
12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.vtt 9.17kB
12. Gradient Descent/3. Cost Functions.mp4 13.79MB
12. Gradient Descent/3. Cost Functions.vtt 2.90kB
12. Gradient Descent/4. Defining Cost Functions More Formally.mp4 38.29MB
12. Gradient Descent/4. Defining Cost Functions More Formally.vtt 8.80kB
12. Gradient Descent/5. Gradient Descent.mp4 39.49MB
12. Gradient Descent/5. Gradient Descent.vtt 12.81kB
12. Gradient Descent/6. Optimisation.mp4 22.73MB
12. Gradient Descent/6. Optimisation.vtt 5.18kB
12. Gradient Descent/7. Closed Form Vs Gradient Descent.mp4 27.90MB
12. Gradient Descent/7. Closed Form Vs Gradient Descent.vtt 5.91kB
12. Gradient Descent/8. Gradient Descent case study.mp4 75.14MB
12. Gradient Descent/8. Gradient Descent case study.vtt 7.02kB
13. KNN/1. Introduction to Classification.mp4 56.74MB
13. KNN/1. Introduction to Classification.vtt 15.90kB
13. KNN/1.1 KNN.zip.zip 1.40MB
13. KNN/10. Case Study.mp4 74.14MB
13. KNN/10. Case Study.vtt 11.06kB
13. KNN/11. Classification Case1.mp4 88.32MB
13. KNN/11. Classification Case1.vtt 25.62kB
13. KNN/12. Classification Case2.mp4 54.77MB
13. KNN/12. Classification Case2.vtt 17.34kB
13. KNN/13. Classification Case3.mp4 55.54MB
13. KNN/13. Classification Case3.vtt 15.58kB
13. KNN/14. Classification Case4.mp4 43.09MB
13. KNN/14. Classification Case4.vtt 14.12kB
13. KNN/2. Defining Classification Mathematically.mp4 41.93MB
13. KNN/2. Defining Classification Mathematically.vtt 9.24kB
13. KNN/3. Introduction to KNN.mp4 49.41MB
13. KNN/3. Introduction to KNN.vtt 14.02kB
13. KNN/4. Accuracy of KNN.mp4 59.93MB
13. KNN/4. Accuracy of KNN.vtt 15.21kB
13. KNN/5. Effectiveness of KNN.mp4 50.57MB
13. KNN/5. Effectiveness of KNN.vtt 16.24kB
13. KNN/6. Distance Metrics.mp4 50.22MB
13. KNN/6. Distance Metrics.vtt 15.00kB
13. KNN/7. Distance Metrics Part2.mp4 30.23MB
13. KNN/7. Distance Metrics Part2.vtt 9.48kB
13. KNN/8. Finding k.mp4 34.94MB
13. KNN/8. Finding k.vtt 11.77kB
13. KNN/9. KNN on Regression.mp4 9.73MB
13. KNN/9. KNN on Regression.vtt 3.00kB
14. Model Performance Metrics/1. Performance Metrics Part1.mp4 119.36MB
14. Model Performance Metrics/1. Performance Metrics Part1.vtt 27.79kB
14. Model Performance Metrics/2. Performance Metrics Part2.mp4 94.88MB
14. Model Performance Metrics/2. Performance Metrics Part2.vtt 19.61kB
14. Model Performance Metrics/3. Performance Metrics Part3.mp4 25.19MB
14. Model Performance Metrics/3. Performance Metrics Part3.vtt 6.39kB
15. Model Selection Part1/1. Model Creation Case1.mp4 54.62MB
15. Model Selection Part1/1. Model Creation Case1.vtt 12.72kB
15. Model Selection Part1/1.1 CrossValidation_Linear Regression.zip.zip 350.43kB
15. Model Selection Part1/2. Model Creation Case2.mp4 36.35MB
15. Model Selection Part1/2. Model Creation Case2.vtt 8.99kB
15. Model Selection Part1/3. Gridsearch Case study Part1.mp4 130.28MB
15. Model Selection Part1/3. Gridsearch Case study Part1.vtt 13.80kB
15. Model Selection Part1/4. Gridsearch Case study Part2.mp4 187.57MB
15. Model Selection Part1/4. Gridsearch Case study Part2.vtt 18.89kB
16. Naive Bayes/1. Introduction to Naive Bayes.mp4 76.94MB
16. Naive Bayes/1. Introduction to Naive Bayes.vtt 18.22kB
16. Naive Bayes/1.1 NaiveBayes.zip.zip 272.42kB
16. Naive Bayes/10. Case Study 2 Part1.mp4 78.20MB
16. Naive Bayes/10. Case Study 2 Part1.vtt 9.12kB
16. Naive Bayes/11. Case Study 2 Part2.mp4 26.58MB
16. Naive Bayes/11. Case Study 2 Part2.vtt 3.04kB
16. Naive Bayes/2. Bayes Theorem.mp4 66.11MB
16. Naive Bayes/2. Bayes Theorem.vtt 13.05kB
16. Naive Bayes/3. Practical Example from NB with One Column.mp4 84.50MB
16. Naive Bayes/3. Practical Example from NB with One Column.vtt 10.93kB
16. Naive Bayes/4. Practical Example from NB with Multiple Columns.mp4 62.74MB
16. Naive Bayes/4. Practical Example from NB with Multiple Columns.vtt 13.47kB
16. Naive Bayes/5. Naive Bayes On Text Data Part1.mp4 57.40MB
16. Naive Bayes/5. Naive Bayes On Text Data Part1.vtt 10.23kB
16. Naive Bayes/6. Naive Bayes On Text Data Part2.mp4 48.30MB
16. Naive Bayes/6. Naive Bayes On Text Data Part2.vtt 6.74kB
16. Naive Bayes/7. Laplace Smoothing.mp4 57.95MB
16. Naive Bayes/7. Laplace Smoothing.vtt 5.06kB
16. Naive Bayes/8. Bernoulli Naive Bayes.mp4 28.42MB
16. Naive Bayes/8. Bernoulli Naive Bayes.vtt 2.09kB
16. Naive Bayes/9. Case Study 1.mp4 100.10MB
16. Naive Bayes/9. Case Study 1.vtt 11.07kB
17. Logistic Regression/1. Introduction.mp4 27.89MB
17. Logistic Regression/1. Introduction.vtt 8.38kB
17. Logistic Regression/1.1 LogisticReg.zip.zip 1.01MB
17. Logistic Regression/2. Sigmoid Function.mp4 46.46MB
17. Logistic Regression/2. Sigmoid Function.vtt 11.91kB
17. Logistic Regression/3. Log Odds.mp4 43.86MB
17. Logistic Regression/3. Log Odds.vtt 11.17kB
17. Logistic Regression/4. Case Study.mp4 207.83MB
17. Logistic Regression/4. Case Study.vtt 20.90kB
18. Support Vector Machine (SVM)/1. Introduction.mp4 61.56MB
18. Support Vector Machine (SVM)/1. Introduction.vtt 14.05kB
18. Support Vector Machine (SVM)/1.1 SVM.zip.zip 16.16MB
18. Support Vector Machine (SVM)/10. Kernel Part2.mp4 74.59MB
18. Support Vector Machine (SVM)/10. Kernel Part2.vtt 12.98kB
18. Support Vector Machine (SVM)/11. Case Study 2.mp4 94.38MB
18. Support Vector Machine (SVM)/11. Case Study 2.vtt 8.56kB
18. Support Vector Machine (SVM)/12. Case Study 3 Part1.mp4 58.73MB
18. Support Vector Machine (SVM)/12. Case Study 3 Part1.vtt 10.16kB
18. Support Vector Machine (SVM)/13. Case Study 3 Part2.mp4 64.26MB
18. Support Vector Machine (SVM)/13. Case Study 3 Part2.vtt 6.39kB
18. Support Vector Machine (SVM)/14. Case Study 4.mp4 172.40MB
18. Support Vector Machine (SVM)/14. Case Study 4.vtt 20.86kB
18. Support Vector Machine (SVM)/2. Hyperplane Part1.mp4 28.38MB
18. Support Vector Machine (SVM)/2. Hyperplane Part1.vtt 6.25kB
18. Support Vector Machine (SVM)/3. Hyperplane Part2.mp4 68.49MB
18. Support Vector Machine (SVM)/3. Hyperplane Part2.vtt 17.17kB
18. Support Vector Machine (SVM)/4. Maths Behind SVM.mp4 25.21MB
18. Support Vector Machine (SVM)/4. Maths Behind SVM.vtt 8.34kB
18. Support Vector Machine (SVM)/5. Support Vectors.mp4 11.58MB
18. Support Vector Machine (SVM)/5. Support Vectors.vtt 4.05kB
18. Support Vector Machine (SVM)/6. Slack Variable.mp4 34.89MB
18. Support Vector Machine (SVM)/6. Slack Variable.vtt 10.47kB
18. Support Vector Machine (SVM)/7. SVM Case Study Part1.mp4 77.75MB
18. Support Vector Machine (SVM)/7. SVM Case Study Part1.vtt 6.64kB
18. Support Vector Machine (SVM)/8. SVM Case Study Part2.mp4 69.37MB
18. Support Vector Machine (SVM)/8. SVM Case Study Part2.vtt 8.61kB
18. Support Vector Machine (SVM)/9. Kernel Part1.mp4 51.63MB
18. Support Vector Machine (SVM)/9. Kernel Part1.vtt 9.58kB
19. Decision Tree/1. Introduction.mp4 31.22MB
19. Decision Tree/1. Introduction.vtt 9.18kB
19. Decision Tree/1.1 DT_forudemy.zip.zip 4.22MB
19. Decision Tree/10. DT Case Study Part2.mp4 100.36MB
19. Decision Tree/10. DT Case Study Part2.vtt 11.17kB
19. Decision Tree/2. Example of DT.mp4 42.56MB
19. Decision Tree/2. Example of DT.vtt 9.39kB
19. Decision Tree/3. Homogenity.mp4 21.61MB
19. Decision Tree/3. Homogenity.vtt 5.98kB
19. Decision Tree/4. Gini Index.mp4 46.33MB
19. Decision Tree/4. Gini Index.vtt 9.09kB
19. Decision Tree/5. Information Gain Part1.mp4 30.71MB
19. Decision Tree/5. Information Gain Part1.vtt 6.84kB
19. Decision Tree/6. Information Gain Part2.mp4 28.70MB
19. Decision Tree/6. Information Gain Part2.vtt 5.79kB
19. Decision Tree/7. Advantages and Disadvantages of DT.mp4 16.20MB
19. Decision Tree/7. Advantages and Disadvantages of DT.vtt 4.54kB
19. Decision Tree/8. Preventing Overfitting Issues in DT.mp4 42.24MB
19. Decision Tree/8. Preventing Overfitting Issues in DT.vtt 12.06kB
19. Decision Tree/9. DT Case Study Part1.mp4 131.55MB
19. Decision Tree/9. DT Case Study Part1.vtt 13.23kB
2. Numpy/1. Introduction.mp4 25.95MB
2. Numpy/1. Introduction.vtt 6.42kB
2. Numpy/1.1 Teclov-numpy.ipynb.zip.zip 5.28kB
2. Numpy/2. Numpy Operations Part1.mp4 135.00MB
2. Numpy/2. Numpy Operations Part1.vtt 24.41kB
2. Numpy/3. Numpy Operations Part2.mp4 178.23MB
2. Numpy/3. Numpy Operations Part2.vtt 30.51kB
20. Ensembling/1. Introduction to Ensembles.mp4 41.19MB
20. Ensembling/1. Introduction to Ensembles.vtt 11.35kB
20. Ensembling/1.1 Boosting.zip.zip 1.32MB
20. Ensembling/1.2 RF_forudemy.zip.zip 1.10MB
20. Ensembling/10. Adaboost Part2.mp4 40.33MB
20. Ensembling/10. Adaboost Part2.vtt 8.12kB
20. Ensembling/11. Adaboost Case Study.mp4 56.26MB
20. Ensembling/11. Adaboost Case Study.vtt 6.15kB
20. Ensembling/12. XGBoost.mp4 24.23MB
20. Ensembling/12. XGBoost.vtt 4.86kB
20. Ensembling/13. Boosting Part1.mp4 14.35MB
20. Ensembling/13. Boosting Part1.vtt 3.79kB
20. Ensembling/14. Boosting Part2.mp4 37.24MB
20. Ensembling/14. Boosting Part2.vtt 8.01kB
20. Ensembling/15. XGboost Algorithm.mp4 40.65MB
20. Ensembling/15. XGboost Algorithm.vtt 9.01kB
20. Ensembling/16. Case Study Part1.mp4 148.42MB
20. Ensembling/16. Case Study Part1.vtt 12.06kB
20. Ensembling/17. Case Study Part2.mp4 143.34MB
20. Ensembling/17. Case Study Part2.vtt 13.70kB
20. Ensembling/18. Case Study Part3.mp4 79.10MB
20. Ensembling/18. Case Study Part3.vtt 7.04kB
20. Ensembling/2. Bagging.mp4 74.67MB
20. Ensembling/2. Bagging.vtt 15.81kB
20. Ensembling/3. Advantages.mp4 15.59MB
20. Ensembling/3. Advantages.vtt 5.19kB
20. Ensembling/4. Runtime.mp4 17.18MB
20. Ensembling/4. Runtime.vtt 4.77kB
20. Ensembling/5. Case study.mp4 76.64MB
20. Ensembling/5. Case study.vtt 7.06kB
20. Ensembling/6. Introduction to Boosting.mp4 34.65MB
20. Ensembling/6. Introduction to Boosting.vtt 6.63kB
20. Ensembling/7. Weak Learners.mp4 18.77MB
20. Ensembling/7. Weak Learners.vtt 3.19kB
20. Ensembling/8. Shallow Decision Tree.mp4 15.68MB
20. Ensembling/8. Shallow Decision Tree.vtt 2.79kB
20. Ensembling/9. Adaboost Part1.mp4 43.55MB
20. Ensembling/9. Adaboost Part1.vtt 8.45kB
21. Model Selection Part2/1. Model Selection Part1.mp4 109.37MB
21. Model Selection Part2/1. Model Selection Part1.vtt 23.76kB
21. Model Selection Part2/2. Model Selection Part2.mp4 43.33MB
21. Model Selection Part2/2. Model Selection Part2.vtt 14.89kB
21. Model Selection Part2/3. Model Selection Part3.mp4 37.39MB
22. Unsupervised Learning/1. Introduction to Clustering.mp4 62.00MB
22. Unsupervised Learning/1. Introduction to Clustering.vtt 12.99kB
22. Unsupervised Learning/1.1 Unsupervised.zip.zip 7.74MB
22. Unsupervised Learning/10. Case Study Part2.mp4 64.31MB
22. Unsupervised Learning/10. Case Study Part2.vtt 9.26kB
22. Unsupervised Learning/11. More on Segmentation.mp4 18.94MB
22. Unsupervised Learning/11. More on Segmentation.vtt 5.63kB
22. Unsupervised Learning/12. Hierarchial Clustering.mp4 39.87MB
22. Unsupervised Learning/12. Hierarchial Clustering.vtt 9.25kB
22. Unsupervised Learning/13. Case Study.mp4 36.07MB
22. Unsupervised Learning/13. Case Study.vtt 6.69kB
22. Unsupervised Learning/2. Segmentation.mp4 30.04MB
22. Unsupervised Learning/2. Segmentation.vtt 8.91kB
22. Unsupervised Learning/3. Kmeans.mp4 60.51MB
22. Unsupervised Learning/3. Kmeans.vtt 10.37kB
22. Unsupervised Learning/4. Maths Behind Kmeans.mp4 56.37MB
22. Unsupervised Learning/4. Maths Behind Kmeans.vtt 13.50kB
22. Unsupervised Learning/5. More Maths.mp4 9.89MB
22. Unsupervised Learning/5. More Maths.vtt 2.98kB
22. Unsupervised Learning/6. Kmeans plus.mp4 54.30MB
22. Unsupervised Learning/6. Kmeans plus.vtt 11.70kB
22. Unsupervised Learning/7. Value of K.mp4 37.56MB
22. Unsupervised Learning/7. Value of K.vtt 7.80kB
22. Unsupervised Learning/8. Hopkins test.mp4 12.87MB
22. Unsupervised Learning/8. Hopkins test.vtt 3.09kB
22. Unsupervised Learning/9. Case Study Part1.mp4 100.47MB
22. Unsupervised Learning/9. Case Study Part1.vtt 13.50kB
23. Dimension Reduction/1. Introduction.mp4 164.29MB
23. Dimension Reduction/1. Introduction.vtt 32.94kB
23. Dimension Reduction/1.1 PCA code for udemy.zip.zip 9.50MB
23. Dimension Reduction/2. PCA.mp4 103.17MB
23. Dimension Reduction/2. PCA.vtt 27.08kB
23. Dimension Reduction/3. Maths Behind PCA.mp4 101.52MB
23. Dimension Reduction/3. Maths Behind PCA.vtt 26.13kB
23. Dimension Reduction/4. Case Study Part1.mp4 47.68MB
23. Dimension Reduction/4. Case Study Part1.vtt 6.22kB
23. Dimension Reduction/5. Case Study Part2.mp4 129.03MB
23. Dimension Reduction/5. Case Study Part2.vtt 19.43kB
24. Advanced Machine Learning Algorithms/1. Introduction.mp4 32.44MB
24. Advanced Machine Learning Algorithms/1. Introduction.vtt 7.35kB
24. Advanced Machine Learning Algorithms/1.1 AdvanceReg.zip.zip 1.17MB
24. Advanced Machine Learning Algorithms/10. Adjusted R Square.mp4 21.11MB
24. Advanced Machine Learning Algorithms/10. Adjusted R Square.vtt 4.18kB
24. Advanced Machine Learning Algorithms/2. Example Part1.mp4 28.81MB
24. Advanced Machine Learning Algorithms/2. Example Part1.vtt 6.18kB
24. Advanced Machine Learning Algorithms/3. Example Part2.mp4 47.31MB
24. Advanced Machine Learning Algorithms/3. Example Part2.vtt 11.00kB
24. Advanced Machine Learning Algorithms/4. Optimal Solution.mp4 68.40MB
24. Advanced Machine Learning Algorithms/4. Optimal Solution.vtt 17.11kB
24. Advanced Machine Learning Algorithms/5. Case study.mp4 41.91MB
24. Advanced Machine Learning Algorithms/5. Case study.vtt 4.31kB
24. Advanced Machine Learning Algorithms/6. Regularization.mp4 50.96MB
24. Advanced Machine Learning Algorithms/6. Regularization.vtt 10.56kB
24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.mp4 41.89MB
24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.vtt 7.88kB
24. Advanced Machine Learning Algorithms/8. Case Study.mp4 111.38MB
24. Advanced Machine Learning Algorithms/8. Case Study.vtt 10.94kB
24. Advanced Machine Learning Algorithms/9. Model Selection.mp4 32.82MB
24. Advanced Machine Learning Algorithms/9. Model Selection.vtt 6.68kB
25. Deep Learning/1. Expectations.mp4 9.82MB
25. Deep Learning/1. Expectations.vtt 2.86kB
25. Deep Learning/2. Introduction.mp4 51.13MB
25. Deep Learning/2. Introduction.vtt 10.83kB
25. Deep Learning/3. History.mp4 64.87MB
25. Deep Learning/3. History.vtt 18.40kB
25. Deep Learning/4. Perceptron.mp4 31.23MB
25. Deep Learning/4. Perceptron.vtt 8.44kB
25. Deep Learning/5. Multi Layered Perceptron.mp4 66.93MB
25. Deep Learning/5. Multi Layered Perceptron.vtt 14.84kB
25. Deep Learning/6. Neural Network Playground.mp4 108.73MB
25. Deep Learning/6. Neural Network Playground.vtt 13.92kB
26. Project Kaggle/1. Introduction to the Problem Statement.mp4 97.89MB
26. Project Kaggle/1. Introduction to the Problem Statement.vtt 9.87kB
26. Project Kaggle/1.1 training.zip.zip 62.91MB
26. Project Kaggle/1.2 Teclov Project - Medical treatment.ipynb.zip.zip 1.35MB
26. Project Kaggle/10. Response encoding and one hot encoder.mp4 57.34MB
26. Project Kaggle/10. Response encoding and one hot encoder.vtt 6.73kB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.mp4 50.59MB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.vtt 14.76kB
26. Project Kaggle/12. Significance of first categorical column.mp4 75.23MB
26. Project Kaggle/12. Significance of first categorical column.vtt 9.12kB
26. Project Kaggle/13. Second Categorical column.mp4 47.92MB
26. Project Kaggle/13. Second Categorical column.vtt 5.40kB
26. Project Kaggle/14. Third Categorical column.mp4 69.96MB
26. Project Kaggle/14. Third Categorical column.vtt 8.78kB
26. Project Kaggle/15. Data pre-processing before building machine learning model.mp4 53.04MB
26. Project Kaggle/15. Data pre-processing before building machine learning model.vtt 5.78kB
26. Project Kaggle/16. Building Machine Learning model part1.mp4 130.04MB
26. Project Kaggle/16. Building Machine Learning model part1.vtt 17.72kB
26. Project Kaggle/17. Building Machine Learning model part2.mp4 141.75MB
26. Project Kaggle/17. Building Machine Learning model part2.vtt 15.67kB
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26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4 118.51MB
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26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4 121.85MB
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26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4 89.66MB
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26. Project Kaggle/7. Building A Worst Model.mp4 71.81MB
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26. Project Kaggle/9. First Categorical column analysis.mp4 74.58MB
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3. Pandas/1. Introduction.mp4 41.00MB
3. Pandas/1. Introduction.vtt 8.06kB
3. Pandas/1.1 Pandas.zip.zip 15.83kB
3. Pandas/10. groupby.mp4 49.20MB
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3. Pandas/2. Series.mp4 64.48MB
3. Pandas/2. Series.vtt 9.82kB
3. Pandas/3. DataFrame.mp4 69.41MB
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3. Pandas/9. Merging Part1.mp4 31.47MB
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4. Some Fun With Maths/1. Linear Algebra Vectors.mp4 170.30MB
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4. Some Fun With Maths/2. Linear Algebra Matrix Part1.mp4 99.89MB
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4. Some Fun With Maths/3. Linear Algebra Matrix Part2.mp4 81.78MB
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4. Some Fun With Maths/5. Linear Algebra 2D to nD Part2.mp4 27.03MB
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5. Inferential Statistics/1. Inferential Statistics.mp4 10.81MB
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5. Inferential Statistics/10. Normal Distribution.mp4 19.95MB
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5. Inferential Statistics/13. Sampling Distribution.mp4 26.75MB
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5. Inferential Statistics/14. Central Limit Theorem.mp4 13.74MB
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5. Inferential Statistics/8. Commulative Distribution.mp4 8.77MB
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5. Inferential Statistics/9. PDF.mp4 22.02MB
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6. Hypothesis Testing/1. Introduction.mp4 32.60MB
6. Hypothesis Testing/1. Introduction.vtt 9.42kB
6. Hypothesis Testing/1.1 z-table.pdf.pdf 60.39kB
6. Hypothesis Testing/1.2 t-table.pdf.pdf 150.84kB
6. Hypothesis Testing/10. Types of Error.mp4 16.04MB
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6. Hypothesis Testing/11. t- distribution Part1.mp4 22.35MB
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6. Hypothesis Testing/12. t- distribution Part2.mp4 30.75MB
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6. Hypothesis Testing/2. NULL And Alternate Hypothesis.mp4 30.19MB
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6. Hypothesis Testing/3. Examples.mp4 29.10MB
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6. Hypothesis Testing/4. OneTwo Tailed Tests.mp4 39.85MB
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6. Hypothesis Testing/5. Critical Value Method.mp4 25.91MB
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6. Hypothesis Testing/6. z Table.mp4 61.48MB
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6. Hypothesis Testing/7. Examples.mp4 27.71MB
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6. Hypothesis Testing/9. p Value.mp4 35.11MB
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7. Data Visualisation/1. Matplotlib.mp4 181.16MB
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7. Data Visualisation/2. Seaborn.mp4 193.72MB
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7. Data Visualisation/3. Case Study.mp4 118.70MB
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7. Data Visualisation/4. Seaborn On Time Series Data.mp4 56.68MB
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8. Exploratory Data Analysis/1. Introduction.mp4 3.98MB
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8. Exploratory Data Analysis/10. Univariate Analysis Part1.mp4 86.80MB
8. Exploratory Data Analysis/10. Univariate Analysis Part1.vtt 26.41kB
8. Exploratory Data Analysis/11. Univariate Analysis Part2.mp4 63.81MB
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8. Exploratory Data Analysis/13. Bivariate Analysis.mp4 63.54MB
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8. Exploratory Data Analysis/14. Derived Columns.mp4 43.93MB
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8. Exploratory Data Analysis/2. Data Sourcing and Cleaning part1.mp4 16.31MB
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8. Exploratory Data Analysis/4. Data Sourcing and Cleaning part3.mp4 10.52MB
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8. Exploratory Data Analysis/5. Data Sourcing and Cleaning part4.mp4 10.88MB
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9. Simple Linear Regression/1. Introduction to Machine Learning.mp4 11.70MB
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9. Simple Linear Regression/5. Some Fun With Maths Behind LR.mp4 55.31MB
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