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[FreeTutorials.Eu] Udemy - Machine Learning A-Z Become Kaggle Master
magnet:?xt=urn:btih:4262230db3b95cedb1839b5e6dd665d05d43fe5d&dn=[FreeTutorials.Eu] Udemy - Machine Learning A-Z Become Kaggle Master
磁力链接详情
Hash值:
4262230db3b95cedb1839b5e6dd665d05d43fe5d
点击数:
222
文件大小:
13.87 GB
文件数量:
257
创建日期:
2019-2-16 19:07
最后访问:
2024-5-28 07:10
访问标签:
FreeTutorials
Eu
Udemy
-
Machine
Learning
A-Z
Become
Kaggle
Master
文件列表详情
10. Multiple Linear Regression/10. Case Study Part5.mp4 45.73 MB
10. Multiple Linear Regression/11. Case Study Part6 (RFE).mp4 64.15 MB
10. Multiple Linear Regression/1. Introduction.mp4 16.46 MB
10. Multiple Linear Regression/2. Case Study part1.mp4 83.04 MB
10. Multiple Linear Regression/3. Case Study part2.mp4 98.41 MB
10. Multiple Linear Regression/4. Case Study part3.mp4 68.67 MB
10. Multiple Linear Regression/5. Adjusted R Square.mp4 8.08 MB
10. Multiple Linear Regression/6. Case Study Part1.mp4 68.55 MB
10. Multiple Linear Regression/7. Case Study Part2.mp4 72.9 MB
10. Multiple Linear Regression/8. Case Study Part3.mp4 66.56 MB
10. Multiple Linear Regression/9. Case Study Part4.mp4 132.2 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/1. Introduction to the Problem Statement.mp4 40.85 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/2. Playing With Data.mp4 81.36 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/3. Building Model Part1.mp4 55.07 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/4. Building Model Part2.mp4 87.8 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/5. Building Model Part3.mp4 48.52 MB
11. HotstarNetflix Real world Case Study for Multiple Linear Regression/6. Verification of Model.mp4 39.49 MB
12. Gradient Descent/1. Pre-Req For Gradient Descent Part1.mp4 61.24 MB
12. Gradient Descent/2. Pre-Req For Gradient Descent Part2.mp4 32.9 MB
12. Gradient Descent/3. Cost Functions.mp4 13.16 MB
12. Gradient Descent/4. Defining Cost Functions More Formally.mp4 36.51 MB
12. Gradient Descent/5. Gradient Descent.mp4 37.66 MB
12. Gradient Descent/6. Optimisation.mp4 21.68 MB
12. Gradient Descent/7. Closed Form Vs Gradient Descent.mp4 26.61 MB
12. Gradient Descent/8. Gradient Descent case study.mp4 71.66 MB
13. KNN/10. Case Study.mp4 70.71 MB
13. KNN/11. Classification Case1.mp4 84.22 MB
13. KNN/12. Classification Case2.mp4 52.23 MB
13. KNN/13. Classification Case3.mp4 52.97 MB
13. KNN/14. Classification Case4.mp4 41.1 MB
13. KNN/1. Introduction to Classification.mp4 54.11 MB
13. KNN/2. Defining Classification Mathematically.mp4 39.99 MB
13. KNN/3. Introduction to KNN.mp4 47.13 MB
13. KNN/4. Accuracy of KNN.mp4 57.16 MB
13. KNN/5. Effectiveness of KNN.mp4 48.23 MB
13. KNN/6. Distance Metrics.mp4 47.9 MB
13. KNN/7. Distance Metrics Part2.mp4 28.83 MB
13. KNN/8. Finding k.mp4 33.32 MB
13. KNN/9. KNN on Regression.mp4 9.28 MB
14. Model Performance Metrics/1. Performance Metrics Part1.mp4 113.83 MB
14. Model Performance Metrics/2. Performance Metrics Part2.mp4 90.48 MB
14. Model Performance Metrics/3. Performance Metrics Part3.mp4 24.02 MB
15. Model Selection Part1/1. Model Creation Case1.mp4 52.09 MB
15. Model Selection Part1/2. Model Creation Case2.mp4 34.67 MB
15. Model Selection Part1/3. Gridsearch Case study Part1.mp4 124.24 MB
15. Model Selection Part1/4. Gridsearch Case study Part2.mp4 178.88 MB
16. Naive Bayes/10. Case Study 2 Part1.mp4 74.57 MB
16. Naive Bayes/11. Case Study 2 Part2.mp4 25.35 MB
16. Naive Bayes/1. Introduction to Naive Bayes.mp4 73.37 MB
16. Naive Bayes/2. Bayes Theorem.mp4 63.05 MB
16. Naive Bayes/3. Practical Example from NB with One Column.mp4 80.59 MB
16. Naive Bayes/4. Practical Example from NB with Multiple Columns.mp4 59.83 MB
16. Naive Bayes/5. Naive Bayes On Text Data Part1.mp4 54.74 MB
16. Naive Bayes/6. Naive Bayes On Text Data Part2.mp4 46.06 MB
16. Naive Bayes/7. Laplace Smoothing.mp4 55.26 MB
16. Naive Bayes/8. Bernoulli Naive Bayes.mp4 27.11 MB
16. Naive Bayes/9. Case Study 1.mp4 95.46 MB
17. Logistic Regression/1. Introduction.mp4 26.6 MB
17. Logistic Regression/2. Sigmoid Function.mp4 44.31 MB
17. Logistic Regression/3. Log Odds.mp4 41.83 MB
17. Logistic Regression/4. Case Study.mp4 198.2 MB
18. Support Vector Machine (SVM)/10. Kernel Part2.mp4 71.13 MB
18. Support Vector Machine (SVM)/11. Case Study 2.mp4 90 MB
18. Support Vector Machine (SVM)/12. Case Study 3 Part1.mp4 56.01 MB
18. Support Vector Machine (SVM)/13. Case Study 3 Part2.mp4 61.28 MB
18. Support Vector Machine (SVM)/14. Case Study 4.mp4 164.41 MB
18. Support Vector Machine (SVM)/1. Introduction.mp4 58.71 MB
18. Support Vector Machine (SVM)/2. Hyperplane Part1.mp4 27.07 MB
18. Support Vector Machine (SVM)/3. Hyperplane Part2.mp4 65.32 MB
18. Support Vector Machine (SVM)/4. Maths Behind SVM.mp4 24.04 MB
18. Support Vector Machine (SVM)/5. Support Vectors.mp4 11.04 MB
18. Support Vector Machine (SVM)/6. Slack Variable.mp4 33.27 MB
18. Support Vector Machine (SVM)/7. SVM Case Study Part1.mp4 74.15 MB
18. Support Vector Machine (SVM)/8. SVM Case Study Part2.mp4 66.16 MB
18. Support Vector Machine (SVM)/9. Kernel Part1.mp4 49.24 MB
19. Decision Tree/10. DT Case Study Part2.mp4 95.71 MB
19. Decision Tree/1. Introduction.mp4 29.78 MB
19. Decision Tree/2. Example of DT.mp4 40.59 MB
19. Decision Tree/3. Homogenity.mp4 20.61 MB
19. Decision Tree/4. Gini Index.mp4 44.19 MB
19. Decision Tree/5. Information Gain Part1.mp4 29.29 MB
19. Decision Tree/6. Information Gain Part2.mp4 27.37 MB
19. Decision Tree/7. Advantages and Disadvantages of DT.mp4 15.45 MB
19. Decision Tree/8. Preventing Overfitting Issues in DT.mp4 40.29 MB
19. Decision Tree/9. DT Case Study Part1.mp4 125.45 MB
1. Python Fundamentals/10. Functions.mp4 85.62 MB
1. Python Fundamentals/11. String Part1.mp4 106.01 MB
1. Python Fundamentals/12. String Part2.mp4 27.38 MB
1. Python Fundamentals/13. List Part1.mp4 10.04 MB
1. Python Fundamentals/14. List Part2.mp4 87.32 MB
1. Python Fundamentals/15. List Part3.mp4 73.56 MB
1. Python Fundamentals/16. List Part4.mp4 63.85 MB
1. Python Fundamentals/17. Tuples.mp4 67.33 MB
1. Python Fundamentals/18. Sets.mp4 58.16 MB
1. Python Fundamentals/19. Dictionaries.mp4 61.6 MB
1. Python Fundamentals/1. Introduction to the course.mp4 93.85 MB
1. Python Fundamentals/20. Comprehentions.mp4 70.54 MB
1. Python Fundamentals/2. Introduction to Kaggle.mp4 90.07 MB
1. Python Fundamentals/3. Installation of Python and Anaconda.mp4 82.29 MB
1. Python Fundamentals/4. Python Introduction.mp4 10.25 MB
1. Python Fundamentals/5. Variables in Python.mp4 110.46 MB
1. Python Fundamentals/6. Numeric Operations in Python.mp4 36.92 MB
1. Python Fundamentals/7. Logical Operations.mp4 17.32 MB
1. Python Fundamentals/8. If else Loop.mp4 64.01 MB
1. Python Fundamentals/9. for while Loop.mp4 77.78 MB
20. Ensembling/10. Adaboost Part2.mp4 38.46 MB
20. Ensembling/11. Adaboost Case Study.mp4 53.65 MB
20. Ensembling/12. XGBoost.mp4 23.11 MB
20. Ensembling/13. Boosting Part1.mp4 13.69 MB
20. Ensembling/14. Boosting Part2.mp4 35.51 MB
20. Ensembling/15. XGboost Algorithm.mp4 38.76 MB
20. Ensembling/16. Case Study Part1.mp4 141.54 MB
20. Ensembling/17. Case Study Part2.mp4 136.7 MB
20. Ensembling/18. Case Study Part3.mp4 75.43 MB
20. Ensembling/1. Introduction to Ensembles.mp4 39.28 MB
20. Ensembling/2. Bagging.mp4 71.21 MB
20. Ensembling/3. Advantages.mp4 14.87 MB
20. Ensembling/4. Runtime.mp4 16.38 MB
20. Ensembling/5. Case study.mp4 73.09 MB
20. Ensembling/6. Introduction to Boosting.mp4 33.05 MB
20. Ensembling/7. Weak Learners.mp4 17.9 MB
20. Ensembling/8. Shallow Decision Tree.mp4 14.96 MB
20. Ensembling/9. Adaboost Part1.mp4 41.53 MB
21. Model Selection Part2/1. Model Selection Part1.mp4 104.3 MB
21. Model Selection Part2/2. Model Selection Part2.mp4 41.33 MB
21. Model Selection Part2/3. Model Selection Part3.mp4 35.66 MB
22. Unsupervised Learning/10. Case Study Part2.mp4 61.33 MB
22. Unsupervised Learning/11. More on Segmentation.mp4 18.06 MB
22. Unsupervised Learning/12. Hierarchial Clustering.mp4 38.02 MB
22. Unsupervised Learning/13. Case Study.mp4 34.4 MB
22. Unsupervised Learning/1. Introduction to Clustering.mp4 59.13 MB
22. Unsupervised Learning/2. Segmentation.mp4 28.65 MB
22. Unsupervised Learning/3. Kmeans.mp4 57.71 MB
22. Unsupervised Learning/4. Maths Behind Kmeans.mp4 53.75 MB
22. Unsupervised Learning/5. More Maths.mp4 9.43 MB
22. Unsupervised Learning/6. Kmeans plus.mp4 51.78 MB
22. Unsupervised Learning/7. Value of K.mp4 35.82 MB
22. Unsupervised Learning/8. Hopkins test.mp4 12.27 MB
22. Unsupervised Learning/9. Case Study Part1.mp4 95.82 MB
23. Dimension Reduction/1. Introduction.mp4 156.68 MB
23. Dimension Reduction/2. PCA.mp4 98.39 MB
23. Dimension Reduction/3. Maths Behind PCA.mp4 96.82 MB
23. Dimension Reduction/4. Case Study Part1.mp4 45.47 MB
23. Dimension Reduction/5. Case Study Part2.mp4 123.06 MB
24. Advanced Machine Learning Algorithms/10. Adjusted R Square.mp4 20.13 MB
24. Advanced Machine Learning Algorithms/1. Introduction.mp4 30.94 MB
24. Advanced Machine Learning Algorithms/2. Example Part1.mp4 27.48 MB
24. Advanced Machine Learning Algorithms/3. Example Part2.mp4 45.11 MB
24. Advanced Machine Learning Algorithms/4. Optimal Solution.mp4 65.23 MB
24. Advanced Machine Learning Algorithms/5. Case study.mp4 39.97 MB
24. Advanced Machine Learning Algorithms/6. Regularization.mp4 48.6 MB
24. Advanced Machine Learning Algorithms/7. Ridge and Lasso.mp4 39.95 MB
24. Advanced Machine Learning Algorithms/8. Case Study.mp4 106.22 MB
24. Advanced Machine Learning Algorithms/9. Model Selection.mp4 31.3 MB
25. Deep Learning/1. Expectations.mp4 9.36 MB
25. Deep Learning/2. Introduction.mp4 48.76 MB
25. Deep Learning/3. History.mp4 61.86 MB
25. Deep Learning/4. Perceptron.mp4 29.78 MB
25. Deep Learning/5. Multi Layered Perceptron.mp4 63.83 MB
25. Deep Learning/6. Neural Network Playground.mp4 103.7 MB
26. Project Kaggle/10. Response encoding and one hot encoder.mp4 54.68 MB
26. Project Kaggle/11. Laplace Smoothing and Calibrated classifier.mp4 48.25 MB
26. Project Kaggle/12. Significance of first categorical column.mp4 71.74 MB
26. Project Kaggle/13. Second Categorical column.mp4 45.7 MB
26. Project Kaggle/14. Third Categorical column.mp4 66.72 MB
26. Project Kaggle/15. Data pre-processing before building machine learning model.mp4 50.59 MB
26. Project Kaggle/16. Building Machine Learning model part1.mp4 124.01 MB
26. Project Kaggle/17. Building Machine Learning model part2.mp4 135.18 MB
26. Project Kaggle/18. Building Machine Learning model part3.mp4 38.41 MB
26. Project Kaggle/19. Building Machine Learning model part4.mp4 33.07 MB
26. Project Kaggle/1. Introduction to the Problem Statement.mp4 93.36 MB
26. Project Kaggle/20. Building Machine Learning model part5.mp4 41.94 MB
26. Project Kaggle/21. Building Machine Learning model part6.mp4 50.82 MB
26. Project Kaggle/2. Playing With The Data.mp4 137.05 MB
26. Project Kaggle/3. Translating the Problem In Machine Learning World.mp4 113.02 MB
26. Project Kaggle/4. Dealing with Text Data.mp4 98.05 MB
26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4 116.21 MB
26. Project Kaggle/6. Understanding Evaluation Matrix Log Loss.mp4 85.5 MB
26. Project Kaggle/7. Building A Worst Model.mp4 68.49 MB
26. Project Kaggle/8. Evaluating Worst ML Model.mp4 58.87 MB
26. Project Kaggle/9. First Categorical column analysis.mp4 71.13 MB
2. Numpy/1. Introduction.mp4 24.74 MB
2. Numpy/2. Numpy Operations Part1.mp4 128.75 MB
2. Numpy/3. Numpy Operations Part2.mp4 169.97 MB
3. Pandas/10. groupby.mp4 46.92 MB
3. Pandas/11. Merging Part2.mp4 33.9 MB
3. Pandas/12. Pivot Table.mp4 27.7 MB
3. Pandas/1. Introduction.mp4 39.1 MB
3. Pandas/2. Series.mp4 61.49 MB
3. Pandas/3. DataFrame.mp4 66.19 MB
3. Pandas/4. Operations Part1.mp4 12.02 MB
3. Pandas/5. Operations Part2.mp4 44.1 MB
3. Pandas/6. Indexes.mp4 50.11 MB
3. Pandas/7. loc and iloc.mp4 59.37 MB
3. Pandas/8. Reading CSV.mp4 42.47 MB
3. Pandas/9. Merging Part1.mp4 30.01 MB
4. Some Fun With Maths/1. Linear Algebra Vectors.mp4 162.41 MB
4. Some Fun With Maths/2. Linear Algebra Matrix Part1.mp4 95.26 MB
4. Some Fun With Maths/3. Linear Algebra Matrix Part2.mp4 77.99 MB
4. Some Fun With Maths/4. Linear Algebra Going From 2D to nD Part1.mp4 27.71 MB
4. Some Fun With Maths/5. Linear Algebra 2D to nD Part2.mp4 25.78 MB
5. Inferential Statistics/10. Normal Distribution.mp4 19.02 MB
5. Inferential Statistics/11. z Score.mp4 23.8 MB
5. Inferential Statistics/12. Sampling.mp4 38.73 MB
5. Inferential Statistics/13. Sampling Distribution.mp4 25.51 MB
5. Inferential Statistics/14. Central Limit Theorem.mp4 13.1 MB
5. Inferential Statistics/15. Confidence Interval Part1.mp4 34.55 MB
5. Inferential Statistics/16. Confidence Interval Part2.mp4 13.39 MB
5. Inferential Statistics/1. Inferential Statistics.mp4 10.31 MB
5. Inferential Statistics/2. Probability Theory.mp4 54.79 MB
5. Inferential Statistics/3. Probability Distribution.mp4 24.24 MB
5. Inferential Statistics/4. Expected Values Part1.mp4 24.25 MB
5. Inferential Statistics/5. Expected Values Part2.mp4 14.49 MB
5. Inferential Statistics/6. Without Experiment.mp4 28.68 MB
5. Inferential Statistics/7. Binomial Distribution.mp4 17.58 MB
5. Inferential Statistics/8. Commulative Distribution.mp4 8.37 MB
5. Inferential Statistics/9. PDF.mp4 21 MB
6. Hypothesis Testing/10. Types of Error.mp4 15.3 MB
6. Hypothesis Testing/11. t- distribution Part1.mp4 21.31 MB
6. Hypothesis Testing/12. t- distribution Part2.mp4 29.32 MB
6. Hypothesis Testing/1. Introduction.mp4 31.09 MB
6. Hypothesis Testing/2. NULL And Alternate Hypothesis.mp4 28.79 MB
6. Hypothesis Testing/3. Examples.mp4 27.75 MB
6. Hypothesis Testing/4. OneTwo Tailed Tests.mp4 38 MB
6. Hypothesis Testing/5. Critical Value Method.mp4 24.71 MB
6. Hypothesis Testing/6. z Table.mp4 58.63 MB
6. Hypothesis Testing/7. Examples.mp4 26.42 MB
6. Hypothesis Testing/8. More Examples.mp4 16.47 MB
6. Hypothesis Testing/9. p Value.mp4 33.48 MB
7. Data Visualisation/1. Matplotlib.mp4 172.76 MB
7. Data Visualisation/2. Seaborn.mp4 184.74 MB
7. Data Visualisation/3. Case Study.mp4 113.2 MB
7. Data Visualisation/4. Seaborn On Time Series Data.mp4 54.06 MB
8. Exploratory Data Analysis/10. Univariate Analysis Part1.mp4 82.78 MB
8. Exploratory Data Analysis/11. Univariate Analysis Part2.mp4 60.85 MB
8. Exploratory Data Analysis/12. Segmented Analysis.mp4 24.47 MB
8. Exploratory Data Analysis/13. Bivariate Analysis.mp4 60.6 MB
8. Exploratory Data Analysis/14. Derived Columns.mp4 41.89 MB
8. Exploratory Data Analysis/1. Introduction.mp4 3.79 MB
8. Exploratory Data Analysis/2. Data Sourcing and Cleaning part1.mp4 15.56 MB
8. Exploratory Data Analysis/3. Data Sourcing and Cleaning part2.mp4 15.62 MB
8. Exploratory Data Analysis/4. Data Sourcing and Cleaning part3.mp4 10.03 MB
8. Exploratory Data Analysis/5. Data Sourcing and Cleaning part4.mp4 10.37 MB
8. Exploratory Data Analysis/6. Data Sourcing and Cleaning part5.mp4 12.41 MB
8. Exploratory Data Analysis/7. Data Sourcing and Cleaning part6.mp4 53.7 MB
8. Exploratory Data Analysis/8. Data Cleaning part1.mp4 76.24 MB
8. Exploratory Data Analysis/9. Data Cleaning part2.mp4 29.7 MB
9. Simple Linear Regression/10. Residual Square Error (RSE).mp4 4.55 MB
9. Simple Linear Regression/1. Introduction to Machine Learning.mp4 11.16 MB
9. Simple Linear Regression/2. Types of Machine Learning.mp4 35.38 MB
9. Simple Linear Regression/3. Introduction to Linear Regression (LR).mp4 17.88 MB
9. Simple Linear Regression/4. How LR Works.mp4 58.68 MB
9. Simple Linear Regression/5. Some Fun With Maths Behind LR.mp4 52.75 MB
9. Simple Linear Regression/6. R Square.mp4 52.47 MB
9. Simple Linear Regression/7. LR Case Study Part1.mp4 137.5 MB
9. Simple Linear Regression/8. LR Case Study Part2.mp4 53.38 MB
9. Simple Linear Regression/9. LR Case Study Part3.mp4 46.44 MB
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