| Path | Size |
| 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 |
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| 26. Project Kaggle/17. Building Machine Learning model part2.mp4 | 141.75MB |
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| 26. Project Kaggle/18. Building Machine Learning model part3.mp4 | 40.28MB |
| 26. Project Kaggle/18. Building Machine Learning model part3.vtt | 4.26kB |
| 26. Project Kaggle/19. Building Machine Learning model part4.mp4 | 34.68MB |
| 26. Project Kaggle/19. Building Machine Learning model part4.vtt | 4.01kB |
| 26. Project Kaggle/2. Playing With The Data.mp4 | 143.71MB |
| 26. Project Kaggle/2. Playing With The Data.vtt | 18.33kB |
| 26. Project Kaggle/20. Building Machine Learning model part5.mp4 | 43.98MB |
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| 26. Project Kaggle/21. Building Machine Learning model part6.mp4 | 53.29MB |
| 26. Project Kaggle/21. Building Machine Learning model part6.vtt | 9.32kB |
| 26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4 | 118.51MB |
| 26. Project Kaggle/3. Translating the Problem In Machine Learning World.vtt | 12.16kB |
| 26. Project Kaggle/4. Dealing with Text Data.mp4 | 102.82MB |
| 26. Project Kaggle/4. Dealing with Text Data.vtt | 10.14kB |
| 26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4 | 121.85MB |
| 26. Project Kaggle/5. Train, Test And Cross Validation Split.vtt | 12.56kB |
| 26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4 | 89.66MB |
| 26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.vtt | 20.46kB |
| 26. Project Kaggle/7. Building A Worst Model.mp4 | 71.81MB |
| 26. Project Kaggle/7. Building A Worst Model.vtt | 10.92kB |
| 26. Project Kaggle/8. Evaluating Worst ML Model.mp4 | 61.73MB |
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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 |
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| 3. Pandas/1.1 Pandas.zip.zip | 15.83kB |
| 3. Pandas/10. groupby.mp4 | 49.20MB |
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| 3. Pandas/11. Merging Part2.mp4 | 35.55MB |
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| 3. Pandas/12. Pivot Table.mp4 | 29.05MB |
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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/4. Operations Part1.mp4 | 12.61MB |
| 3. Pandas/4. Operations Part1.vtt | 1.48kB |
| 3. Pandas/5. Operations Part2.mp4 | 46.24MB |
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| 3. Pandas/6. Indexes.mp4 | 52.55MB |
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| 3. Pandas/7. loc and iloc.mp4 | 62.25MB |
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| 3. Pandas/8. Reading CSV.mp4 | 44.53MB |
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| 3. Pandas/9. Merging Part1.mp4 | 31.47MB |
| 3. Pandas/9. Merging Part1.vtt | 4.44kB |
| 4. Some Fun With Maths/1. Linear Algebra Vectors.mp4 | 170.30MB |
| 4. Some Fun With Maths/1. Linear Algebra Vectors.vtt | 51.12kB |
| 4. Some Fun With Maths/2. Linear Algebra Matrix Part1.mp4 | 99.89MB |
| 4. Some Fun With Maths/2. Linear Algebra Matrix Part1.vtt | 17.25kB |
| 4. Some Fun With Maths/3. Linear Algebra Matrix Part2.mp4 | 81.78MB |
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| 4. Some Fun With Maths/4. Linear Algebra Going From 2D to nD Part1.mp4 | 29.06MB |
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| 4. Some Fun With Maths/5. Linear Algebra 2D to nD Part2.mp4 | 27.03MB |
| 4. Some Fun With Maths/5. Linear Algebra 2D to nD Part2.vtt | 8.35kB |
| 5. Inferential Statistics/1. Inferential Statistics.mp4 | 10.81MB |
| 5. Inferential Statistics/1. Inferential Statistics.vtt | 3.13kB |
| 5. Inferential Statistics/10. Normal Distribution.mp4 | 19.95MB |
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| 5. Inferential Statistics/11. z Score.mp4 | 24.95MB |
| 5. Inferential Statistics/11. z Score.vtt | 5.48kB |
| 5. Inferential Statistics/12. Sampling.mp4 | 40.61MB |
| 5. Inferential Statistics/12. Sampling.vtt | 10.12kB |
| 5. Inferential Statistics/13. Sampling Distribution.mp4 | 26.75MB |
| 5. Inferential Statistics/13. Sampling Distribution.vtt | 7.03kB |
| 5. Inferential Statistics/14. Central Limit Theorem.mp4 | 13.74MB |
| 5. Inferential Statistics/14. Central Limit Theorem.vtt | 3.04kB |
| 5. Inferential Statistics/15. Confidence Interval Part1.mp4 | 36.22MB |
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| 5. Inferential Statistics/16. Confidence Interval Part2.mp4 | 14.04MB |
| 5. Inferential Statistics/16. Confidence Interval Part2.vtt | 3.27kB |
| 5. Inferential Statistics/2. Probability Theory.mp4 | 57.45MB |
| 5. Inferential Statistics/2. Probability Theory.vtt | 14.20kB |
| 5. Inferential Statistics/3. Probability Distribution.mp4 | 25.42MB |
| 5. Inferential Statistics/3. Probability Distribution.vtt | 5.60kB |
| 5. Inferential Statistics/4. Expected Values Part1.mp4 | 25.43MB |
| 5. Inferential Statistics/4. Expected Values Part1.vtt | 5.65kB |
| 5. Inferential Statistics/5. Expected Values Part2.mp4 | 15.20MB |
| 5. Inferential Statistics/5. Expected Values Part2.vtt | 3.97kB |
| 5. Inferential Statistics/6. Without Experiment.mp4 | 30.08MB |
| 5. Inferential Statistics/6. Without Experiment.vtt | 7.38kB |
| 5. Inferential Statistics/7. Binomial Distribution.mp4 | 18.43MB |
| 5. Inferential Statistics/7. Binomial Distribution.vtt | 4.31kB |
| 5. Inferential Statistics/8. Commulative Distribution.mp4 | 8.77MB |
| 5. Inferential Statistics/8. Commulative Distribution.vtt | 2.79kB |
| 5. Inferential Statistics/9. PDF.mp4 | 22.02MB |
| 5. Inferential Statistics/9. PDF.vtt | 5.55kB |
| 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 |
| 6. Hypothesis Testing/10. Types of Error.vtt | 3.49kB |
| 6. Hypothesis Testing/11. t- distribution Part1.mp4 | 22.35MB |
| 6. Hypothesis Testing/11. t- distribution Part1.vtt | 4.25kB |
| 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 |
| 6. Hypothesis Testing/2. NULL And Alternate Hypothesis.vtt | 7.70kB |
| 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/8. More Examples.mp4 | 17.27MB |
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| 6. Hypothesis Testing/9. p Value.mp4 | 35.11MB |
| 6. Hypothesis Testing/9. p Value.vtt | 6.62kB |
| 7. Data Visualisation/1. Matplotlib.mp4 | 181.16MB |
| 7. Data Visualisation/1. Matplotlib.vtt | 26.96kB |
| 7. Data Visualisation/1.1 Datavisual.zip.zip | 1.26MB |
| 7. Data Visualisation/2. Seaborn.mp4 | 193.72MB |
| 7. Data Visualisation/2. Seaborn.vtt | 26.64kB |
| 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 |
| 7. Data Visualisation/4. Seaborn On Time Series Data.vtt | 5.73kB |
| 8. Exploratory Data Analysis/1. Introduction.mp4 | 3.98MB |
| 8. Exploratory Data Analysis/1. Introduction.vtt | 0.90kB |
| 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 |
| 8. Exploratory Data Analysis/11. Univariate Analysis Part2.vtt | 20.04kB |
| 8. Exploratory Data Analysis/12. Segmented Analysis.mp4 | 25.66MB |
| 8. Exploratory Data Analysis/12. Segmented Analysis.vtt | 7.97kB |
| 8. Exploratory Data Analysis/13. Bivariate Analysis.mp4 | 63.54MB |
| 8. Exploratory Data Analysis/13. Bivariate Analysis.vtt | 16.83kB |
| 8. Exploratory Data Analysis/14. Derived Columns.mp4 | 43.93MB |
| 8. Exploratory Data Analysis/14. Derived Columns.vtt | 14.75kB |
| 8. Exploratory Data Analysis/2. Data Sourcing and Cleaning part1.mp4 | 16.31MB |
| 8. Exploratory Data Analysis/2. Data Sourcing and Cleaning part1.vtt | 4.14kB |
| 8. Exploratory Data Analysis/3. Data Sourcing and Cleaning part2.mp4 | 16.38MB |
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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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| 8. Exploratory Data Analysis/6. Data Sourcing and Cleaning part5.mp4 | 13.02MB |
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| 8. Exploratory Data Analysis/7. Data Sourcing and Cleaning part6.mp4 | 56.30MB |
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| 8. Exploratory Data Analysis/8. Data Cleaning part1.mp4 | 79.94MB |
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| 8. Exploratory Data Analysis/9. Data Cleaning part2.mp4 | 31.14MB |
| 8. Exploratory Data Analysis/9. Data Cleaning part2.vtt | 11.30kB |
| 9. Simple Linear Regression/1. Introduction to Machine Learning.mp4 | 11.70MB |
| 9. Simple Linear Regression/1. Introduction to Machine Learning.vtt | 2.24kB |
| 9. Simple Linear Regression/1.1 code-LR-Teclov.zip.zip | 78.68kB |
| 9. Simple Linear Regression/10. Residual Square Error (RSE).mp4 | 4.77MB |
| 9. Simple Linear Regression/10. Residual Square Error (RSE).vtt | 1.05kB |
| 9. Simple Linear Regression/2. Types of Machine Learning.mp4 | 37.09MB |
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| 9. Simple Linear Regression/3. Introduction to Linear Regression (LR).mp4 | 18.75MB |
| 9. Simple Linear Regression/3. Introduction to Linear Regression (LR).vtt | 3.04kB |
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| 9. Simple Linear Regression/5. Some Fun With Maths Behind LR.mp4 | 55.31MB |
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| 9. Simple Linear Regression/6. R Square.mp4 | 55.02MB |
| 9. Simple Linear Regression/6. R Square.vtt | 12.63kB |
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3. Pandas/12. Pivot Table.mp4 
