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[FreeCourseSite.com] Udemy - Machine Learning A-Z Become Kaggle Master

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File Name
Size
1. Python Fundamentals/1. Introduction to the course.mp4
94 MB
1. Python Fundamentals/1. Introduction to the course.vtt
16 kB
1. Python Fundamentals/10. Functions.mp4
86 MB
1. Python Fundamentals/10. Functions.vtt
14 kB
1. Python Fundamentals/11. String Part1.mp4
106 MB
1. Python Fundamentals/11. String Part1.vtt
16 kB
1. Python Fundamentals/12. String Part2.mp4
27 MB
1. Python Fundamentals/12. String Part2.vtt
3.4 kB
1. Python Fundamentals/13. List Part1.mp4
10 MB
1. Python Fundamentals/13. List Part1.vtt
2.9 kB
1. Python Fundamentals/14. List Part2.mp4
87 MB
1. Python Fundamentals/14. List Part2.vtt
13 kB
1. Python Fundamentals/15. List Part3.mp4
74 MB
1. Python Fundamentals/15. List Part3.vtt
10 kB
1. Python Fundamentals/16. List Part4.mp4
64 MB
1. Python Fundamentals/16. List Part4.vtt
10 kB
1. Python Fundamentals/17. Tuples.mp4
67 MB
1. Python Fundamentals/17. Tuples.vtt
10 kB
1. Python Fundamentals/18. Sets.mp4
58 MB
1. Python Fundamentals/18. Sets.vtt
7.8 kB
1. Python Fundamentals/19. Dictionaries.mp4
62 MB
1. Python Fundamentals/19. Dictionaries.vtt
8.3 kB
1. Python Fundamentals/2. Introduction to Kaggle.mp4
90 MB
1. Python Fundamentals/2. Introduction to Kaggle.vtt
11 kB
1. Python Fundamentals/20. Comprehentions.mp4
70 MB
1. Python Fundamentals/20. Comprehentions.vtt
8.1 kB
1. Python Fundamentals/3. Installation of Python and Anaconda.mp4
82 MB
1. Python Fundamentals/3. Installation of Python and Anaconda.vtt
11 kB
1. Python Fundamentals/3.1 Python-code-udemy.zip.zip
16 kB
1. Python Fundamentals/3.2 Installing-Python.Teclov.pdf.pdf
1.4 MB
1. Python Fundamentals/4. Python Introduction.mp4
10 MB
1. Python Fundamentals/4. Python Introduction.vtt
3.5 kB
1. Python Fundamentals/4.1 Python-code-udemy.zip.zip
16 kB
1. Python Fundamentals/5. Variables in Python.mp4
110 MB
1. Python Fundamentals/5. Variables in Python.vtt
21 kB
1. Python Fundamentals/6. Numeric Operations in Python.mp4
37 MB
1. Python Fundamentals/6. Numeric Operations in Python.vtt
7.1 kB
1. Python Fundamentals/7. Logical Operations.mp4
17 MB
1. Python Fundamentals/7. Logical Operations.vtt
3.2 kB
1. Python Fundamentals/8. If else Loop.mp4
64 MB
1. Python Fundamentals/8. If else Loop.vtt
10 kB
1. Python Fundamentals/9. for while Loop.mp4
78 MB
1. Python Fundamentals/9. for while Loop.vtt
13 kB
10. Multiple Linear Regression/1. Introduction.mp4
16 MB
10. Multiple Linear Regression/1. Introduction.vtt
3.6 kB
10. Multiple Linear Regression/1.1 Multplr_LR_Code_for Udemy.zip.zip
521 kB
10. Multiple Linear Regression/10. Case Study Part5.mp4
46 MB
10. Multiple Linear Regression/10. Case Study Part5.vtt
6.1 kB
10. Multiple Linear Regression/11. Case Study Part6 (RFE).mp4
64 MB
10. Multiple Linear Regression/11. Case Study Part6 (RFE).vtt
8.2 kB
10. Multiple Linear Regression/2. Case Study part1.mp4
83 MB
10. Multiple Linear Regression/2. Case Study part1.vtt
8.5 kB
10. Multiple Linear Regression/3. Case Study part2.mp4
98 MB
10. Multiple Linear Regression/3. Case Study part2.vtt
12 kB
10. Multiple Linear Regression/4. Case Study part3.mp4
69 MB
10. Multiple Linear Regression/4. Case Study part3.vtt
7.7 kB
10. Multiple Linear Regression/5. Adjusted R Square.mp4
8.1 MB
10. Multiple Linear Regression/5. Adjusted R Square.vtt
855 B
10. Multiple Linear Regression/6. Case Study Part1.mp4
68 MB
10. Multiple Linear Regression/6. Case Study Part1.vtt
8.8 kB
10. Multiple Linear Regression/7. Case Study Part2.mp4
73 MB
10. Multiple Linear Regression/7. Case Study Part2.vtt
12 kB
10. Multiple Linear Regression/8. Case Study Part3.mp4
67 MB
10. Multiple Linear Regression/8. Case Study Part3.vtt
7.6 kB
10. Multiple Linear Regression/9. Case Study Part4.mp4
132 MB
10. Multiple Linear Regression/9. Case Study Part4.vtt
18 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.mp4
41 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.vtt
6.2 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1.1 Hotstarcode-for-udemy.zip.zip
255 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.mp4
81 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.vtt
12 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.mp4
55 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.vtt
5.8 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.mp4
88 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.vtt
9.3 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.mp4
48 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.vtt
4.7 kB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.mp4
40 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.vtt
4.7 kB
12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.mp4
61 MB
12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.vtt
18 kB
12. Gradient Descent/1.1 Gradient+Descent+Updated.zip.zip
161 kB
12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.mp4
33 MB
12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.vtt
9.0 kB
12. Gradient Descent/3. Cost Functions.mp4
13 MB
12. Gradient Descent/3. Cost Functions.vtt
2.8 kB
12. Gradient Descent/4. Defining Cost Functions More Formally.mp4
36 MB
12. Gradient Descent/4. Defining Cost Functions More Formally.vtt
8.6 kB
12. Gradient Descent/5. Gradient Descent.mp4
38 MB
12. Gradient Descent/5. Gradient Descent.vtt
12 kB
12. Gradient Descent/6. Optimisation.mp4
22 MB
12. Gradient Descent/6. Optimisation.vtt
5.1 kB
12. Gradient Descent/7. Closed Form Vs Gradient Descent.mp4
27 MB
12. Gradient Descent/7. Closed Form Vs Gradient Descent.vtt
5.8 kB
12. Gradient Descent/8. Gradient Descent case study.mp4
72 MB
12. Gradient Descent/8. Gradient Descent case study.vtt
6.9 kB
13. KNN/1. Introduction to Classification.mp4
54 MB
13. KNN/1. Introduction to Classification.vtt
16 kB
13. KNN/1.1 KNN.zip.zip
1.3 MB
13. KNN/10. Case Study.mp4
71 MB
13. KNN/10. Case Study.vtt
11 kB
13. KNN/11. Classification Case1.mp4
84 MB
13. KNN/11. Classification Case1.vtt
25 kB
13. KNN/12. Classification Case2.mp4
52 MB
13. KNN/12. Classification Case2.vtt
17 kB
13. KNN/13. Classification Case3.mp4
53 MB
13. KNN/13. Classification Case3.vtt
15 kB
13. KNN/14. Classification Case4.mp4
41 MB
13. KNN/14. Classification Case4.vtt
14 kB
13. KNN/2. Defining Classification Mathematically.mp4
40 MB
13. KNN/2. Defining Classification Mathematically.vtt
9.0 kB
13. KNN/3. Introduction to KNN.mp4
47 MB
13. KNN/3. Introduction to KNN.vtt
14 kB
13. KNN/4. Accuracy of KNN.mp4
57 MB
13. KNN/4. Accuracy of KNN.vtt
15 kB
13. KNN/5. Effectiveness of KNN.mp4
48 MB
13. KNN/5. Effectiveness of KNN.vtt
16 kB
13. KNN/6. Distance Metrics.mp4
48 MB
13. KNN/6. Distance Metrics.vtt
15 kB
13. KNN/7. Distance Metrics Part2.mp4
29 MB
13. KNN/7. Distance Metrics Part2.vtt
9.3 kB
13. KNN/8. Finding k.mp4
33 MB
13. KNN/8. Finding k.vtt
12 kB
13. KNN/9. KNN on Regression.mp4
9.3 MB
13. KNN/9. KNN on Regression.vtt
2.9 kB
14. Model Performance Metrics/1. Performance Metrics Part1.mp4
114 MB
14. Model Performance Metrics/1. Performance Metrics Part1.vtt
27 kB
14. Model Performance Metrics/2. Performance Metrics Part2.mp4
90 MB
14. Model Performance Metrics/2. Performance Metrics Part2.vtt
19 kB
14. Model Performance Metrics/3. Performance Metrics Part3.mp4
24 MB
14. Model Performance Metrics/3. Performance Metrics Part3.vtt
6.2 kB
15. Model Selection Part1/1. Model Creation Case1.mp4
52 MB
15. Model Selection Part1/1. Model Creation Case1.vtt
12 kB
15. Model Selection Part1/1.1 CrossValidation_Linear Regression.zip.zip
342 kB
15. Model Selection Part1/2. Model Creation Case2.mp4
35 MB
15. Model Selection Part1/2. Model Creation Case2.vtt
8.8 kB
15. Model Selection Part1/3. Gridsearch Case study Part1.mp4
124 MB
15. Model Selection Part1/3. Gridsearch Case study Part1.vtt
14 kB
15. Model Selection Part1/4. Gridsearch Case study Part2.mp4
179 MB
15. Model Selection Part1/4. Gridsearch Case study Part2.vtt
18 kB
16. Naive Bayes/1. Introduction to Naive Bayes.mp4
73 MB
16. Naive Bayes/1. Introduction to Naive Bayes.vtt
18 kB
16. Naive Bayes/1.1 NaiveBayes.zip.zip
266 kB
16. Naive Bayes/10. Case Study 2 Part1.mp4
75 MB
16. Naive Bayes/10. Case Study 2 Part1.vtt
8.9 kB
16. Naive Bayes/11. Case Study 2 Part2.mp4
25 MB
16. Naive Bayes/11. Case Study 2 Part2.vtt
3.0 kB
16. Naive Bayes/2. Bayes Theorem.mp4
63 MB
16. Naive Bayes/2. Bayes Theorem.vtt
13 kB
16. Naive Bayes/3. Practical Example from NB with One Column.mp4
81 MB
16. Naive Bayes/3. Practical Example from NB with One Column.vtt
11 kB
16. Naive Bayes/4. Practical Example from NB with Multiple Columns.mp4
60 MB
16. Naive Bayes/4. Practical Example from NB with Multiple Columns.vtt
13 kB
16. Naive Bayes/5. Naive Bayes On Text Data Part1.mp4
55 MB
16. Naive Bayes/5. Naive Bayes On Text Data Part1.vtt
10 kB
16. Naive Bayes/6. Naive Bayes On Text Data Part2.mp4
46 MB
16. Naive Bayes/6. Naive Bayes On Text Data Part2.vtt
6.6 kB
16. Naive Bayes/7. Laplace Smoothing.mp4
55 MB
16. Naive Bayes/7. Laplace Smoothing.vtt
4.9 kB
16. Naive Bayes/8. Bernoulli Naive Bayes.mp4
27 MB
16. Naive Bayes/8. Bernoulli Naive Bayes.vtt
2.0 kB
16. Naive Bayes/9. Case Study 1.mp4
96 MB
16. Naive Bayes/9. Case Study 1.vtt
11 kB
17. Logistic Regression/1. Introduction.mp4
27 MB
17. Logistic Regression/1. Introduction.vtt
8.2 kB
17. Logistic Regression/1.1 LogisticReg.zip.zip
984 kB
17. Logistic Regression/2. Sigmoid Function.mp4
44 MB
17. Logistic Regression/2. Sigmoid Function.vtt
12 kB
17. Logistic Regression/3. Log Odds.mp4
42 MB
17. Logistic Regression/3. Log Odds.vtt
11 kB
17. Logistic Regression/4. Case Study.mp4
198 MB
17. Logistic Regression/4. Case Study.vtt
20 kB
18. Support Vector Machine (SVM)/1. Introduction.mp4
59 MB
18. Support Vector Machine (SVM)/1. Introduction.vtt
14 kB
18. Support Vector Machine (SVM)/1.1 SVM.zip.zip
15 MB
18. Support Vector Machine (SVM)/10. Kernel Part2.mp4
71 MB
18. Support Vector Machine (SVM)/10. Kernel Part2.vtt
13 kB
18. Support Vector Machine (SVM)/11. Case Study 2.mp4
90 MB
18. Support Vector Machine (SVM)/11. Case Study 2.vtt
8.4 kB
18. Support Vector Machine (SVM)/12. Case Study 3 Part1.mp4
56 MB
18. Support Vector Machine (SVM)/12. Case Study 3 Part1.vtt
9.9 kB
18. Support Vector Machine (SVM)/13. Case Study 3 Part2.mp4
61 MB
18. Support Vector Machine (SVM)/13. Case Study 3 Part2.vtt
6.2 kB
18. Support Vector Machine (SVM)/14. Case Study 4.mp4
164 MB
18. Support Vector Machine (SVM)/14. Case Study 4.vtt
20 kB
18. Support Vector Machine (SVM)/2. Hyperplane Part1.mp4
27 MB
18. Support Vector Machine (SVM)/2. Hyperplane Part1.vtt
6.1 kB
18. Support Vector Machine (SVM)/3. Hyperplane Part2.mp4
65 MB
18. Support Vector Machine (SVM)/3. Hyperplane Part2.vtt
17 kB
18. Support Vector Machine (SVM)/4. Maths Behind SVM.mp4
24 MB
18. Support Vector Machine (SVM)/4. Maths Behind SVM.vtt
8.1 kB
18. Support Vector Machine (SVM)/5. Support Vectors.mp4
11 MB
18. Support Vector Machine (SVM)/5. Support Vectors.vtt
4.0 kB
18. Support Vector Machine (SVM)/6. Slack Variable.mp4
33 MB
18. Support Vector Machine (SVM)/6. Slack Variable.vtt
10 kB
18. Support Vector Machine (SVM)/7. SVM Case Study Part1.mp4
74 MB
18. Support Vector Machine (SVM)/7. SVM Case Study Part1.vtt
6.5 kB
18. Support Vector Machine (SVM)/8. SVM Case Study Part2.mp4
66 MB
18. Support Vector Machine (SVM)/8. SVM Case Study Part2.vtt
8.4 kB
18. Support Vector Machine (SVM)/9. Kernel Part1.mp4
49 MB
18. Support Vector Machine (SVM)/9. Kernel Part1.vtt
9.4 kB
19. Decision Tree/1. Introduction.mp4
30 MB
19. Decision Tree/1. Introduction.vtt
9.0 kB
19. Decision Tree/1.1 DT_forudemy.zip.zip
4.0 MB
19. Decision Tree/10. DT Case Study Part2.mp4
96 MB
19. Decision Tree/10. DT Case Study Part2.vtt
11 kB
19. Decision Tree/2. Example of DT.mp4
41 MB
19. Decision Tree/2. Example of DT.vtt
9.2 kB
19. Decision Tree/3. Homogenity.mp4
21 MB
19. Decision Tree/3. Homogenity.vtt
5.8 kB
19. Decision Tree/4. Gini Index.mp4
44 MB
19. Decision Tree/4. Gini Index.vtt
8.9 kB
19. Decision Tree/5. Information Gain Part1.mp4
29 MB
19. Decision Tree/5. Information Gain Part1.vtt
6.7 kB
19. Decision Tree/6. Information Gain Part2.mp4
27 MB
19. Decision Tree/6. Information Gain Part2.vtt
5.7 kB
19. Decision Tree/7. Advantages and Disadvantages of DT.mp4
16 MB
19. Decision Tree/7. Advantages and Disadvantages of DT.vtt
4.4 kB
19. Decision Tree/8. Preventing Overfitting Issues in DT.mp4
40 MB
19. Decision Tree/8. Preventing Overfitting Issues in DT.vtt
12 kB
19. Decision Tree/9. DT Case Study Part1.mp4
126 MB
19. Decision Tree/9. DT Case Study Part1.vtt
13 kB
2. Numpy/1. Introduction.mp4
25 MB
2. Numpy/1. Introduction.vtt
6.3 kB
2. Numpy/1.1 Teclov-numpy.ipynb.zip.zip
5.2 kB
2. Numpy/2. Numpy Operations Part1.mp4
129 MB
2. Numpy/2. Numpy Operations Part1.vtt
24 kB
2. Numpy/3. Numpy Operations Part2.mp4
170 MB
2. Numpy/3. Numpy Operations Part2.vtt
30 kB
20. Ensembling/1. Introduction to Ensembles.mp4
39 MB
20. Ensembling/1. Introduction to Ensembles.vtt
11 kB
20. Ensembling/1.1 Boosting.zip.zip
1.3 MB
20. Ensembling/1.2 RF_forudemy.zip.zip
1.1 MB
20. Ensembling/10. Adaboost Part2.mp4
38 MB
20. Ensembling/10. Adaboost Part2.vtt
7.9 kB
20. Ensembling/11. Adaboost Case Study.mp4
54 MB
20. Ensembling/11. Adaboost Case Study.vtt
6.0 kB
20. Ensembling/12. XGBoost.mp4
23 MB
20. Ensembling/12. XGBoost.vtt
4.7 kB
20. Ensembling/13. Boosting Part1.mp4
14 MB
20. Ensembling/13. Boosting Part1.vtt
3.7 kB
20. Ensembling/14. Boosting Part2.mp4
36 MB
20. Ensembling/14. Boosting Part2.vtt
7.8 kB
20. Ensembling/15. XGboost Algorithm.mp4
39 MB
20. Ensembling/15. XGboost Algorithm.vtt
8.8 kB
20. Ensembling/16. Case Study Part1.mp4
142 MB
20. Ensembling/16. Case Study Part1.vtt
12 kB
20. Ensembling/17. Case Study Part2.mp4
137 MB
20. Ensembling/17. Case Study Part2.vtt
13 kB
20. Ensembling/18. Case Study Part3.mp4
75 MB
20. Ensembling/18. Case Study Part3.vtt
6.9 kB
20. Ensembling/2. Bagging.mp4
71 MB
20. Ensembling/2. Bagging.vtt
15 kB
20. Ensembling/3. Advantages.mp4
15 MB
20. Ensembling/3. Advantages.vtt
5.1 kB
20. Ensembling/4. Runtime.mp4
16 MB
20. Ensembling/4. Runtime.vtt
4.7 kB
20. Ensembling/5. Case study.mp4
73 MB
20. Ensembling/5. Case study.vtt
6.9 kB
20. Ensembling/6. Introduction to Boosting.mp4
33 MB
20. Ensembling/6. Introduction to Boosting.vtt
6.5 kB
20. Ensembling/7. Weak Learners.mp4
18 MB
20. Ensembling/7. Weak Learners.vtt
3.1 kB
20. Ensembling/8. Shallow Decision Tree.mp4
15 MB
20. Ensembling/8. Shallow Decision Tree.vtt
2.7 kB
20. Ensembling/9. Adaboost Part1.mp4
42 MB
20. Ensembling/9. Adaboost Part1.vtt
8.3 kB
21. Model Selection Part2/1. Model Selection Part1.mp4
104 MB
21. Model Selection Part2/1. Model Selection Part1.vtt
23 kB
21. Model Selection Part2/2. Model Selection Part2.mp4
41 MB
21. Model Selection Part2/2. Model Selection Part2.vtt
14 kB
21. Model Selection Part2/3. Model Selection Part3.mp4
36 MB
22. Unsupervised Learning/1. Introduction to Clustering.mp4
59 MB
22. Unsupervised Learning/1. Introduction to Clustering.vtt
13 kB
22. Unsupervised Learning/1.1 Unsupervised.zip.zip
7.4 MB
22. Unsupervised Learning/10. Case Study Part2.mp4
61 MB
22. Unsupervised Learning/10. Case Study Part2.vtt
9.0 kB
22. Unsupervised Learning/11. More on Segmentation.mp4
18 MB
22. Unsupervised Learning/11. More on Segmentation.vtt
5.5 kB
22. Unsupervised Learning/12. Hierarchial Clustering.mp4
38 MB
22. Unsupervised Learning/12. Hierarchial Clustering.vtt
9.0 kB
22. Unsupervised Learning/13. Case Study.mp4
34 MB
22. Unsupervised Learning/13. Case Study.vtt
6.5 kB
22. Unsupervised Learning/2. Segmentation.mp4
29 MB
22. Unsupervised Learning/2. Segmentation.vtt
8.7 kB
22. Unsupervised Learning/3. Kmeans.mp4
58 MB
22. Unsupervised Learning/3. Kmeans.vtt
10 kB
22. Unsupervised Learning/4. Maths Behind Kmeans.mp4
54 MB
22. Unsupervised Learning/4. Maths Behind Kmeans.vtt
13 kB
22. Unsupervised Learning/5. More Maths.mp4
9.4 MB
22. Unsupervised Learning/5. More Maths.vtt
2.9 kB
22. Unsupervised Learning/6. Kmeans plus.mp4
52 MB
22. Unsupervised Learning/6. Kmeans plus.vtt
11 kB
22. Unsupervised Learning/7. Value of K.mp4
36 MB
22. Unsupervised Learning/7. Value of K.vtt
7.6 kB
22. Unsupervised Learning/8. Hopkins test.mp4
12 MB
22. Unsupervised Learning/8. Hopkins test.vtt
3.0 kB
22. Unsupervised Learning/9. Case Study Part1.mp4
96 MB
22. Unsupervised Learning/9. Case Study Part1.vtt
13 kB
23. Dimension Reduction/1. Introduction.mp4
157 MB
23. Dimension Reduction/1. Introduction.vtt
32 kB
23. Dimension Reduction/1.1 PCA code for udemy.zip.zip
9.1 MB
23. Dimension Reduction/2. PCA.mp4
98 MB
23. Dimension Reduction/2. PCA.vtt
26 kB
23. Dimension Reduction/3. Maths Behind PCA.mp4
97 MB
23. Dimension Reduction/3. Maths Behind PCA.vtt
26 kB
23. Dimension Reduction/4. Case Study Part1.mp4
46 MB
23. Dimension Reduction/4. Case Study Part1.vtt
6.1 kB
23. Dimension Reduction/5. Case Study Part2.mp4
123 MB
23. Dimension Reduction/5. Case Study Part2.vtt
19 kB
24. Advanced Machine Learning Algorithms/1. Introduction.mp4
31 MB
24. Advanced Machine Learning Algorithms/1. Introduction.vtt
7.2 kB
24. Advanced Machine Learning Algorithms/1.1 AdvanceReg.zip.zip
1.1 MB
24. Advanced Machine Learning Algorithms/10. Adjusted R Square.mp4
20 MB
24. Advanced Machine Learning Algorithms/10. Adjusted R Square.vtt
4.1 kB
24. Advanced Machine Learning Algorithms/2. Example Part1.mp4
28 MB
24. Advanced Machine Learning Algorithms/2. Example Part1.vtt
6.0 kB
24. Advanced Machine Learning Algorithms/3. Example Part2.mp4
45 MB
24. Advanced Machine Learning Algorithms/3. Example Part2.vtt
11 kB
24. Advanced Machine Learning Algorithms/4. Optimal Solution.mp4
65 MB
24. Advanced Machine Learning Algorithms/4. Optimal Solution.vtt
17 kB
24. Advanced Machine Learning Algorithms/5. Case study.mp4
40 MB
24. Advanced Machine Learning Algorithms/5. Case study.vtt
4.2 kB
24. Advanced Machine Learning Algorithms/6. Regularization.mp4
49 MB
24. Advanced Machine Learning Algorithms/6. Regularization.vtt
10 kB
24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.mp4
40 MB
24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.vtt
7.7 kB
24. Advanced Machine Learning Algorithms/8. Case Study.mp4
106 MB
24. Advanced Machine Learning Algorithms/8. Case Study.vtt
11 kB
24. Advanced Machine Learning Algorithms/9. Model Selection.mp4
31 MB
24. Advanced Machine Learning Algorithms/9. Model Selection.vtt
6.5 kB
25. Deep Learning/1. Expectations.mp4
9.4 MB
25. Deep Learning/1. Expectations.vtt
2.8 kB
25. Deep Learning/2. Introduction.mp4
49 MB
25. Deep Learning/2. Introduction.vtt
11 kB
25. Deep Learning/3. History.mp4
62 MB
25. Deep Learning/3. History.vtt
18 kB
25. Deep Learning/4. Perceptron.mp4
30 MB
25. Deep Learning/4. Perceptron.vtt
8.2 kB
25. Deep Learning/5. Multi Layered Perceptron.mp4
64 MB
25. Deep Learning/5. Multi Layered Perceptron.vtt
14 kB
25. Deep Learning/6. Neural Network Playground.mp4
104 MB
25. Deep Learning/6. Neural Network Playground.vtt
14 kB
26. Project Kaggle/1. Introduction to the Problem Statement.mp4
93 MB
26. Project Kaggle/1. Introduction to the Problem Statement.vtt
9.6 kB
26. Project Kaggle/1.1 training.zip.zip
60 MB
26. Project Kaggle/1.2 Teclov Project - Medical treatment.ipynb.zip.zip
1.3 MB
26. Project Kaggle/10. Response encoding and one hot encoder.mp4
55 MB
26. Project Kaggle/10. Response encoding and one hot encoder.vtt
6.6 kB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.mp4
48 MB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.vtt
14 kB
26. Project Kaggle/12. Significance of first categorical column.mp4
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26. Project Kaggle/12. Significance of first categorical column.vtt
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26. Project Kaggle/13. Second Categorical column.mp4
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26. Project Kaggle/13. Second Categorical column.vtt
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26. Project Kaggle/14. Third Categorical column.mp4
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26. Project Kaggle/14. Third Categorical column.vtt
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26. Project Kaggle/15. Data pre-processing before building machine learning model.mp4
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26. Project Kaggle/15. Data pre-processing before building machine learning model.vtt
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26. Project Kaggle/16. Building Machine Learning model part1.mp4
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26. Project Kaggle/16. Building Machine Learning model part1.vtt
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26. Project Kaggle/17. Building Machine Learning model part2.mp4
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26. Project Kaggle/18. Building Machine Learning model part3.mp4
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26. Project Kaggle/19. Building Machine Learning model part4.mp4
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26. Project Kaggle/19. Building Machine Learning model part4.vtt
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26. Project Kaggle/2. Playing With The Data.mp4
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26. Project Kaggle/2. Playing With The Data.vtt
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26. Project Kaggle/20. Building Machine Learning model part5.mp4
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26. Project Kaggle/21. Building Machine Learning model part6.mp4
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26. Project Kaggle/21. Building Machine Learning model part6.vtt
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26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4
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26. Project Kaggle/3. Translating the Problem In Machine Learning World.vtt
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26. Project Kaggle/4. Dealing with Text Data.mp4
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26. Project Kaggle/4. Dealing with Text Data.vtt
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26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4
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26. Project Kaggle/5. Train, Test And Cross Validation Split.vtt
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26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4
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26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.vtt
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26. Project Kaggle/7. Building A Worst Model.mp4
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26. Project Kaggle/7. Building A Worst Model.vtt
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26. Project Kaggle/8. Evaluating Worst ML Model.mp4
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26. Project Kaggle/8. Evaluating Worst ML Model.vtt
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26. Project Kaggle/9. First Categorical column analysis.mp4
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26. Project Kaggle/9. First Categorical column analysis.vtt
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3. Pandas/1. Introduction.mp4
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3. Pandas/1. Introduction.vtt
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3. Pandas/1.1 Pandas.zip.zip
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3. Pandas/10. groupby.mp4
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3. Pandas/10. groupby.vtt
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3. Pandas/11. Merging Part2.mp4
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3. Pandas/12. Pivot Table.mp4
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3. Pandas/2. Series.mp4
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3. Pandas/3. DataFrame.mp4
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3. Pandas/4. Operations Part1.mp4
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3. Pandas/5. Operations Part2.mp4
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3. Pandas/6. Indexes.mp4
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3. Pandas/7. loc and iloc.mp4
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3. Pandas/8. Reading CSV.mp4
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3. Pandas/9. Merging Part1.mp4
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3. Pandas/9. Merging Part1.vtt
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4. Some Fun With Maths/1. Linear Algebra Vectors.mp4
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4. Some Fun With Maths/1. Linear Algebra Vectors.vtt
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4. Some Fun With Maths/2. Linear Algebra Matrix Part1.mp4
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4. Some Fun With Maths/3. Linear Algebra Matrix Part2.mp4
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4. Some Fun With Maths/3. Linear Algebra Matrix Part2.vtt
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4. Some Fun With Maths/4. Linear Algebra Going From 2D to nD Part1.mp4
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4. Some Fun With Maths/4. Linear Algebra Going From 2D to nD Part1.vtt
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4. Some Fun With Maths/5. Linear Algebra 2D to nD Part2.mp4
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4. Some Fun With Maths/5. Linear Algebra 2D to nD Part2.vtt
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5. Inferential Statistics/1. Inferential Statistics.mp4
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5. Inferential Statistics/10. Normal Distribution.mp4
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5. Inferential Statistics/10. Normal Distribution.vtt
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5. Inferential Statistics/11. z Score.mp4
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5. Inferential Statistics/11. z Score.vtt
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5. Inferential Statistics/12. Sampling.mp4
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5. Inferential Statistics/12. Sampling.vtt
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5. Inferential Statistics/13. Sampling Distribution.mp4
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5. Inferential Statistics/13. Sampling Distribution.vtt
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5. Inferential Statistics/14. Central Limit Theorem.mp4
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5. Inferential Statistics/15. Confidence Interval Part1.mp4
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5. Inferential Statistics/15. Confidence Interval Part1.vtt
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5. Inferential Statistics/16. Confidence Interval Part2.mp4
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5. Inferential Statistics/2. Probability Theory.mp4
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5. Inferential Statistics/3. Probability Distribution.mp4
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5. Inferential Statistics/4. Expected Values Part1.mp4
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5. Inferential Statistics/6. Without Experiment.mp4
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5. Inferential Statistics/7. Binomial Distribution.mp4
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5. Inferential Statistics/7. Binomial Distribution.vtt
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5. Inferential Statistics/8. Commulative Distribution.mp4
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5. Inferential Statistics/9. PDF.mp4
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6. Hypothesis Testing/1. Introduction.mp4
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6. Hypothesis Testing/1. Introduction.vtt
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6. Hypothesis Testing/1.1 z-table.pdf.pdf
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6. Hypothesis Testing/1.2 t-table.pdf.pdf
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6. Hypothesis Testing/10. Types of Error.mp4
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6. Hypothesis Testing/10. Types of Error.vtt
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6. Hypothesis Testing/11. t- distribution Part1.mp4
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6. Hypothesis Testing/12. t- distribution Part2.mp4
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6. Hypothesis Testing/2. NULL And Alternate Hypothesis.mp4
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6. Hypothesis Testing/2. NULL And Alternate Hypothesis.vtt
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6. Hypothesis Testing/3. Examples.mp4
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6. Hypothesis Testing/3. Examples.vtt
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6. Hypothesis Testing/4. OneTwo Tailed Tests.mp4
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6. Hypothesis Testing/4. OneTwo Tailed Tests.vtt
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6. Hypothesis Testing/5. Critical Value Method.mp4
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6. Hypothesis Testing/5. Critical Value Method.vtt
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6. Hypothesis Testing/6. z Table.mp4
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6. Hypothesis Testing/6. z Table.vtt
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6. Hypothesis Testing/7. Examples.mp4
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6. Hypothesis Testing/9. p Value.mp4
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6. Hypothesis Testing/9. p Value.vtt
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7. Data Visualisation/1. Matplotlib.mp4
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7. Data Visualisation/1. Matplotlib.vtt
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7. Data Visualisation/1.1 Datavisual.zip.zip
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7. Data Visualisation/2. Seaborn.mp4
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7. Data Visualisation/2. Seaborn.vtt
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7. Data Visualisation/3. Case Study.mp4
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7. Data Visualisation/4. Seaborn On Time Series Data.mp4
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8. Exploratory Data Analysis/1. Introduction.mp4
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8. Exploratory Data Analysis/1. Introduction.vtt
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8. Exploratory Data Analysis/10. Univariate Analysis Part1.mp4
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8. Exploratory Data Analysis/10. Univariate Analysis Part1.vtt
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8. Exploratory Data Analysis/11. Univariate Analysis Part2.mp4
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8. Exploratory Data Analysis/11. Univariate Analysis Part2.vtt
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8. Exploratory Data Analysis/12. Segmented Analysis.mp4
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8. Exploratory Data Analysis/12. Segmented Analysis.vtt
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8. Exploratory Data Analysis/13. Bivariate Analysis.mp4
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8. Exploratory Data Analysis/13. Bivariate Analysis.vtt
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8. Exploratory Data Analysis/14. Derived Columns.mp4
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8. Exploratory Data Analysis/14. Derived Columns.vtt
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8. Exploratory Data Analysis/2. Data Sourcing and Cleaning part1.mp4
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8. Exploratory Data Analysis/2. Data Sourcing and Cleaning part1.vtt
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8. Exploratory Data Analysis/3. Data Sourcing and Cleaning part2.mp4
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8. Exploratory Data Analysis/3. Data Sourcing and Cleaning part2.vtt
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8. Exploratory Data Analysis/4. Data Sourcing and Cleaning part3.mp4
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8. Exploratory Data Analysis/4. Data Sourcing and Cleaning part3.vtt
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8. Exploratory Data Analysis/5. Data Sourcing and Cleaning part4.mp4
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8. Exploratory Data Analysis/5. Data Sourcing and Cleaning part4.vtt
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8. Exploratory Data Analysis/6. Data Sourcing and Cleaning part5.mp4
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8. Exploratory Data Analysis/6. Data Sourcing and Cleaning part5.vtt
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8. Exploratory Data Analysis/7. Data Sourcing and Cleaning part6.mp4
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8. Exploratory Data Analysis/7. Data Sourcing and Cleaning part6.vtt
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8. Exploratory Data Analysis/8. Data Cleaning part1.mp4
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8. Exploratory Data Analysis/8. Data Cleaning part1.vtt
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8. Exploratory Data Analysis/9. Data Cleaning part2.mp4
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8. Exploratory Data Analysis/9. Data Cleaning part2.vtt
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9. Simple Linear Regression/1. Introduction to Machine Learning.mp4
11 MB
9. Simple Linear Regression/1. Introduction to Machine Learning.vtt
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9. Simple Linear Regression/1.1 code-LR-Teclov.zip.zip
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9. Simple Linear Regression/10. Residual Square Error (RSE).mp4
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9. Simple Linear Regression/10. Residual Square Error (RSE).vtt
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9. Simple Linear Regression/2. Types of Machine Learning.mp4
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9. Simple Linear Regression/2. Types of Machine Learning.vtt
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9. Simple Linear Regression/3. Introduction to Linear Regression (LR).mp4
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9. Simple Linear Regression/3. Introduction to Linear Regression (LR).vtt
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9. Simple Linear Regression/4. How LR Works.mp4
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9. Simple Linear Regression/4. How LR Works.vtt
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9. Simple Linear Regression/5. Some Fun With Maths Behind LR.mp4
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9. Simple Linear Regression/5. Some Fun With Maths Behind LR.vtt
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9. Simple Linear Regression/6. R Square.mp4
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9. Simple Linear Regression/6. R Square.vtt
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9. Simple Linear Regression/7. LR Case Study Part1.mp4
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9. Simple Linear Regression/7. LR Case Study Part1.vtt
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9. Simple Linear Regression/8. LR Case Study Part2.mp4
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9. Simple Linear Regression/8. LR Case Study Part2.vtt
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9. Simple Linear Regression/9. LR Case Study Part3.mp4
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9. Simple Linear Regression/9. LR Case Study Part3.vtt
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[CourseClub.NET].url
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[FCS Forum].url
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[FreeCourseSite.com].url
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