Info hash

9e378efb6e2f67de46c6c3660d9675be50bfc21f

Last mirror activity

0:27 ago

Size

15.00GB (15,004,863,898 bytes)

Added

2023-04-24 20:38:40

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202

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1851

4990

Type

multi

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19287 time(s)

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freecourses

Folder

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

Num files

541 files

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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
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
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
26. Project Kaggle/20. Building Machine Learning model part5.vtt	5.21kB
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
26. Project Kaggle/8. Evaluating Worst ML Model.vtt	7.24kB
26. Project Kaggle/9. First Categorical column analysis.mp4	74.58MB
26. Project Kaggle/9. First Categorical column analysis.vtt	15.02kB
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
3. Pandas/10. groupby.vtt	7.23kB
3. Pandas/11. Merging Part2.mp4	35.55MB
3. Pandas/11. Merging Part2.vtt	5.87kB
3. Pandas/12. Pivot Table.mp4	29.05MB
3. Pandas/12. Pivot Table.vtt	4.61kB
3. Pandas/2. Series.mp4	64.48MB
3. Pandas/2. Series.vtt	9.82kB
3. Pandas/3. DataFrame.mp4	69.41MB
3. Pandas/3. DataFrame.vtt	9.55kB
3. Pandas/4. Operations Part1.mp4	12.61MB
3. Pandas/4. Operations Part1.vtt	1.48kB
3. Pandas/5. Operations Part2.mp4	46.24MB
3. Pandas/5. Operations Part2.vtt	6.24kB
3. Pandas/6. Indexes.mp4	52.55MB
3. Pandas/6. Indexes.vtt	7.62kB
3. Pandas/7. loc and iloc.mp4	62.25MB
3. Pandas/7. loc and iloc.vtt	9.57kB
3. Pandas/8. Reading CSV.mp4	44.53MB
3. Pandas/8. Reading CSV.vtt	7.10kB
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
4. Some Fun With Maths/3. Linear Algebra Matrix Part2.vtt	19.87kB
4. Some Fun With Maths/4. Linear Algebra Going From 2D to nD Part1.mp4	29.06MB
4. Some Fun With Maths/4. Linear Algebra Going From 2D to nD Part1.vtt	10.18kB
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
5. Inferential Statistics/10. Normal Distribution.vtt	5.42kB
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
5. Inferential Statistics/15. Confidence Interval Part1.vtt	7.43kB
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
6. Hypothesis Testing/12. t- distribution Part2.vtt	3.14kB
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
6. Hypothesis Testing/3. Examples.vtt	6.84kB
6. Hypothesis Testing/4. OneTwo Tailed Tests.mp4	39.85MB
6. Hypothesis Testing/4. OneTwo Tailed Tests.vtt	10.39kB
6. Hypothesis Testing/5. Critical Value Method.mp4	25.91MB
6. Hypothesis Testing/5. Critical Value Method.vtt	4.66kB
6. Hypothesis Testing/6. z Table.mp4	61.48MB
6. Hypothesis Testing/6. z Table.vtt	9.01kB
6. Hypothesis Testing/7. Examples.mp4	27.71MB
6. Hypothesis Testing/7. Examples.vtt	3.63kB
6. Hypothesis Testing/8. More Examples.mp4	17.27MB
6. Hypothesis Testing/8. More Examples.vtt	3.46kB
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
7. Data Visualisation/3. Case Study.vtt	13.22kB
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
8. Exploratory Data Analysis/3. Data Sourcing and Cleaning part2.vtt	2.59kB
8. Exploratory Data Analysis/4. Data Sourcing and Cleaning part3.mp4	10.52MB
8. Exploratory Data Analysis/4. Data Sourcing and Cleaning part3.vtt	3.45kB
8. Exploratory Data Analysis/5. Data Sourcing and Cleaning part4.mp4	10.88MB
8. Exploratory Data Analysis/5. Data Sourcing and Cleaning part4.vtt	3.94kB
8. Exploratory Data Analysis/6. Data Sourcing and Cleaning part5.mp4	13.02MB
8. Exploratory Data Analysis/6. Data Sourcing and Cleaning part5.vtt	3.82kB
8. Exploratory Data Analysis/7. Data Sourcing and Cleaning part6.mp4	56.30MB
8. Exploratory Data Analysis/7. Data Sourcing and Cleaning part6.vtt	4.46kB
8. Exploratory Data Analysis/8. Data Cleaning part1.mp4	79.94MB
8. Exploratory Data Analysis/8. Data Cleaning part1.vtt	17.11kB
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
9. Simple Linear Regression/2. Types of Machine Learning.vtt	9.22kB
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
9. Simple Linear Regression/4. How LR Works.mp4	61.53MB
9. Simple Linear Regression/4. How LR Works.vtt	10.17kB
9. Simple Linear Regression/5. Some Fun With Maths Behind LR.mp4	55.31MB
9. Simple Linear Regression/5. Some Fun With Maths Behind LR.vtt	11.24kB
9. Simple Linear Regression/6. R Square.mp4	55.02MB
9. Simple Linear Regression/6. R Square.vtt	12.63kB
9. Simple Linear Regression/7. LR Case Study Part1.mp4	144.18MB
9. Simple Linear Regression/7. LR Case Study Part1.vtt	17.88kB
9. Simple Linear Regression/8. LR Case Study Part2.mp4	55.98MB
9. Simple Linear Regression/8. LR Case Study Part2.vtt	5.57kB
9. Simple Linear Regression/9. LR Case Study Part3.mp4	48.70MB
9. Simple Linear Regression/9. LR Case Study Part3.vtt	5.67kB
[CourseClub.NET].url	0.12kB
[FCS Forum].url	0.13kB
[FreeCourseSite.com].url	0.13kB

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[FreeCourseSite.com] Udemy - Machine Learning A-Z Become Kaggle Master (541 files)

3. Pandas/12. Pivot Table.mp4	29.05MB
3. Pandas/11. Merging Part2.vtt	5.87kB
3. Pandas/11. Merging Part2.mp4	35.55MB
3. Pandas/10. groupby.vtt	7.23kB
3. Pandas/10. groupby.mp4	49.20MB
3. Pandas/1. Introduction.vtt	8.06kB
3. Pandas/1.1 Pandas.zip.zip	15.83kB
3. Pandas/1. Introduction.mp4	41.00MB
26. Project Kaggle/9. First Categorical column analysis.vtt	15.02kB
26. Project Kaggle/9. First Categorical column analysis.mp4	74.58MB
26. Project Kaggle/8. Evaluating Worst ML Model.vtt	7.24kB
26. Project Kaggle/8. Evaluating Worst ML Model.mp4	61.73MB
26. Project Kaggle/7. Building A Worst Model.vtt	10.92kB
26. Project Kaggle/7. Building A Worst Model.mp4	71.81MB
26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.vtt	20.46kB
26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4	89.66MB
26. Project Kaggle/5. Train, Test And Cross Validation Split.vtt	12.56kB
26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4	121.85MB
26. Project Kaggle/4. Dealing with Text Data.vtt	10.14kB
26. Project Kaggle/4. Dealing with Text Data.mp4	102.82MB
26. Project Kaggle/3. Translating the Problem In Machine Learning World.vtt	12.16kB
26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4	118.51MB
26. Project Kaggle/21. Building Machine Learning model part6.vtt	9.32kB
26. Project Kaggle/21. Building Machine Learning model part6.mp4	53.29MB
26. Project Kaggle/20. Building Machine Learning model part5.vtt	5.21kB
26. Project Kaggle/20. Building Machine Learning model part5.mp4	43.98MB
26. Project Kaggle/2. Playing With The Data.vtt	18.33kB
26. Project Kaggle/2. Playing With The Data.mp4	143.71MB
26. Project Kaggle/19. Building Machine Learning model part4.vtt	4.01kB
26. Project Kaggle/19. Building Machine Learning model part4.mp4	34.68MB
26. Project Kaggle/18. Building Machine Learning model part3.vtt	4.26kB
26. Project Kaggle/18. Building Machine Learning model part3.mp4	40.28MB
26. Project Kaggle/17. Building Machine Learning model part2.vtt	15.67kB
26. Project Kaggle/17. Building Machine Learning model part2.mp4	141.75MB
26. Project Kaggle/16. Building Machine Learning model part1.vtt	17.72kB
26. Project Kaggle/16. Building Machine Learning model part1.mp4	130.04MB
26. Project Kaggle/15. Data pre-processing before building machine learning model.vtt	5.78kB
26. Project Kaggle/15. Data pre-processing before building machine learning model.mp4	53.04MB
26. Project Kaggle/14. Third Categorical column.vtt	8.78kB
26. Project Kaggle/14. Third Categorical column.mp4	69.96MB
26. Project Kaggle/13. Second Categorical column.vtt	5.40kB
26. Project Kaggle/13. Second Categorical column.mp4	47.92MB
26. Project Kaggle/12. Significance of first categorical column.vtt	9.12kB
26. Project Kaggle/12. Significance of first categorical column.mp4	75.23MB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.vtt	14.76kB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.mp4	50.59MB
26. Project Kaggle/10. Response encoding and one hot encoder.vtt	6.73kB
26. Project Kaggle/10. Response encoding and one hot encoder.mp4	57.34MB
26. Project Kaggle/1.2 Teclov Project - Medical treatment.ipynb.zip.zip	1.35MB
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title= {Udemy - Machine Learning A-Z  Become Kaggle Master},
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