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Name:[FreeCourseSite com] Udemy - Machine Learning A-Zâ„¢ Hands-On Python & R In Data Science

Infohash: 3D667B5BF82D1742616109A174A4B69253DA090A

Total Size: 6.72 GB

Seeds: 1

Leechers: 0

Stream: Watch Full Movie @ Movie4u

Last Updated: 2024-04-12 07:23:45 (Update Now)

Torrent added: 2018-01-25 07:33:46






Torrent Files List


01 Welcome to the course (Size: 6.72 GB) (Files: 287)

 01 Welcome to the course

  001 Applications of Machine Learning.mp4

9.81 MB

  002 Why Machine Learning is the Future.mp4

14.48 MB

  003 Installing R and R Studio MAC Windows.mp4

23.21 MB

  004 Installing Python and Anaconda MAC Windows.mp4

23.96 MB

  005 BONUS Meet your instructors.html

1.33 KB

 02 -------------------------- Part 1 Data Preprocessing --------------------------

  006 Welcome to Part 1 - Data Preprocessing.mp4

3.52 MB

  007 Get the dataset.mp4

21.15 MB

  008 Importing the Libraries.mp4

13.56 MB

  009 Importing the Dataset.mp4

28.64 MB

  011 Missing Data.mp4

39.32 MB

  012 Categorical Data.mp4

52.88 MB

  013 Splitting the Dataset into the Training set and Test set.mp4

50.91 MB

  014 Feature Scaling.mp4

44.59 MB

  015 And here is our Data Preprocessing Template.mp4

25.86 MB

  quizzes

   001 Data Preprocessing.html

4.62 KB

 03 ------------------------------ Part 2 Regression ------------------------------

  016 Welcome to Part 2 - Regression.html

1.12 KB

 04 Simple Linear Regression

  017 How to get the dataset.mp4

11.71 MB

  018 Dataset Business Problem Description.mp4

7.77 MB

  019 Simple Linear Regression Intuition - Step 1.mp4

10.52 MB

  020 Simple Linear Regression Intuition - Step 2.mp4

5.99 MB

  021 Simple Linear Regression in Python - Step 1.mp4

27.92 MB

  022 Simple Linear Regression in Python - Step 2.mp4

24.62 MB

  023 Simple Linear Regression in Python - Step 3.mp4

20.55 MB

  024 Simple Linear Regression in Python - Step 4.mp4

39.37 MB

  025 Simple Linear Regression in R - Step 1.mp4

11.52 MB

  026 Simple Linear Regression in R - Step 2.mp4

24.87 MB

  027 Simple Linear Regression in R - Step 3.mp4

11.42 MB

  028 Simple Linear Regression in R - Step 4.mp4

49.16 MB

  quizzes

   002 Simple Linear Regression.html

4.47 KB

 05 Multiple Linear Regression

  029 How to get the dataset.mp4

11.71 MB

  030 Dataset Business Problem Description.mp4

12.56 MB

  031 Multiple Linear Regression Intuition - Step 1.mp4

2.00 MB

  032 Multiple Linear Regression Intuition - Step 2.mp4

2.03 MB

  033 Multiple Linear Regression Intuition - Step 3.mp4

16.59 MB

  034 Multiple Linear Regression Intuition - Step 4.mp4

5.34 MB

  035 Multiple Linear Regression Intuition - Step 5.mp4

32.80 MB

  036 Multiple Linear Regression in Python - Step 1.mp4

52.18 MB

  037 Multiple Linear Regression in Python - Step 2.mp4

9.84 MB

  038 Multiple Linear Regression in Python - Step 3.mp4

25.48 MB

  039 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4

54.54 MB

  040 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4

59.14 MB

  041 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4

54.26 MB

  042 Multiple Linear Regression in R - Step 1.mp4

23.44 MB

  043 Multiple Linear Regression in R - Step 2.mp4

45.22 MB

  044 Multiple Linear Regression in R - Step 3.mp4

13.85 MB

  045 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp4

50.78 MB

  046 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4

21.95 MB

  quizzes

   003 Multiple Linear Regression.html

4.68 KB

 06 Polynomial Regression

  047 Polynomial Regression Intuition.mp4

9.44 MB

  048 How to get the dataset.mp4

11.71 MB

  049 Polynomial Regression in Python - Step 1.mp4

31.64 MB

  050 Polynomial Regression in Python - Step 2.mp4

35.11 MB

  051 Polynomial Regression in Python - Step 3.mp4

54.50 MB

  052 Polynomial Regression in Python - Step 4.mp4

17.65 MB

  053 Python Regression Template.mp4

36.78 MB

  054 Polynomial Regression in R - Step 1.mp4

21.21 MB

  055 Polynomial Regression in R - Step 2.mp4

32.28 MB

  056 Polynomial Regression in R - Step 3.mp4

54.80 MB

  057 Polynomial Regression in R - Step 4.mp4

28.52 MB

  058 R Regression Template.mp4

31.33 MB

 07 Support Vector Regression SVR

  059 How to get the dataset.mp4

11.71 MB

  060 SVR in Python.mp4

60.22 MB

  061 SVR in R.mp4

33.73 MB

 08 Decision Tree Regression

  062 Decision Tree Regression Intuition.mp4

25.33 MB

  063 How to get the dataset.mp4

11.71 MB

  064 Decision Tree Regression in Python.mp4

43.44 MB

  065 Decision Tree Regression in R.mp4

56.23 MB

 09 Random Forest Regression

  066 Random Forest Regression Intuition.mp4

15.65 MB

  067 How to get the dataset.mp4

11.71 MB

  068 Random Forest Regression in Python.mp4

52.69 MB

  069 Random Forest Regression in R.mp4

51.86 MB

 10 Evaluating Regression Models Performance

  070 R-Squared Intuition.mp4

9.80 MB

  071 Adjusted R-Squared Intuition.mp4

21.41 MB

  072 Evaluating Regression Models Performance - Homeworks Final Part.mp4

28.35 MB

  073 Interpreting Linear Regression Coefficients.mp4

27.38 MB

  074 Conclusion of Part 2 - Regression.html

3.34 KB

 11 ---------------------------- Part 3 Classification ----------------------------

  075 Welcome to Part 3 - Classification.html

1.08 KB

 12 Logistic Regression

  076 Logistic Regression Intuition.mp4

29.17 MB

  077 How to get the dataset.mp4

11.71 MB

  078 Logistic Regression in Python - Step 1.mp4

16.84 MB

  079 Logistic Regression in Python - Step 2.mp4

11.10 MB

  080 Logistic Regression in Python - Step 3.mp4

7.98 MB

  081 Logistic Regression in Python - Step 4.mp4

13.87 MB

  082 Logistic Regression in Python - Step 5.mp4

53.15 MB

  083 Python Classification Template.mp4

17.58 MB

  084 Logistic Regression in R - Step 1.mp4

15.72 MB

  085 Logistic Regression in R - Step 2.mp4

14.85 MB

  086 Logistic Regression in R - Step 3.mp4

27.44 MB

  087 Logistic Regression in R - Step 4.mp4

11.73 MB

  088 Logistic Regression in R - Step 5.mp4

93.76 MB

  089 R Classification Template.mp4

17.50 MB

  quizzes

   004 Logistic Regression.html

4.13 KB

 13 K-Nearest Neighbors K-NN

  090 K-Nearest Neighbor Intuition.mp4

10.48 MB

  091 How to get the dataset.mp4

11.71 MB

  092 K-NN in Python.mp4

46.98 MB

  093 K-NN in R.mp4

55.77 MB

  quizzes

   005 K-Nearest Neighbor.html

4.07 KB

 14 Support Vector Machine SVM

  094 SVM Intuition.mp4

19.92 MB

  095 How to get the dataset.mp4

11.71 MB

  096 SVM in Python.mp4

41.71 MB

  097 SVM in R.mp4

65.31 MB

  attached_files

   097 SVM in R

    SVM.zip

8.27 KB

 15 Kernel SVM

  098 Kernel SVM Intuition.mp4

6.42 MB

  099 Mapping to a higher dimension.mp4

15.39 MB

  100 The Kernel Trick.mp4

34.72 MB

  101 Types of Kernel Functions.mp4

15.71 MB

  102 How to get the dataset.mp4

11.71 MB

  103 Kernel SVM in Python.mp4

54.86 MB

  104 Kernel SVM in R.mp4

52.82 MB

 16 Naive Bayes

  105 Bayes Theorem.mp4

50.43 MB

  106 Naive Bayes Intuition.mp4

31.10 MB

  107 Naive Bayes Intuition Challenge Reveal.mp4

13.27 MB

  108 Naive Bayes Intuition Extras.mp4

18.94 MB

  109 How to get the dataset.mp4

11.71 MB

  110 Naive Bayes in Python.mp4

31.14 MB

  111 Naive Bayes in R.mp4

49.79 MB

 17 Decision Tree Classification

  112 Decision Tree Classification Intuition.mp4

21.63 MB

  113 How to get the dataset.mp4

11.71 MB

  114 Decision Tree Classification in Python.mp4

38.85 MB

  115 Decision Tree Classification in R.mp4

68.18 MB

 18 Random Forest Classification

  116 Random Forest Classification Intuition.mp4

25.66 MB

  117 How to get the dataset.mp4

11.71 MB

  118 Random Forest Classification in Python.mp4

62.04 MB

  119 Random Forest Classification in R.mp4

64.11 MB

 19 Evaluating Classification Models Performance

  120 False Positives False Negatives.mp4

15.12 MB

  121 Confusion Matrix.mp4

8.91 MB

  122 Accuracy Paradox.mp4

4.21 MB

  123 CAP Curve.mp4

20.31 MB

  124 CAP Curve Analysis.mp4

12.94 MB

  125 Conclusion of Part 3 - Classification.html

3.86 KB

 20 ---------------------------- Part 4 Clustering ----------------------------

  126 Welcome to Part 4 - Clustering.html

0.98 KB

 21 K-Means Clustering

  127 K-Means Clustering Intuition.mp4

29.97 MB

  128 K-Means Random Initialization Trap.mp4

15.36 MB

  129 K-Means Selecting The Number Of Clusters.mp4

25.68 MB

  130 How to get the dataset.mp4

11.71 MB

  131 K-Means Clustering in Python.mp4

49.81 MB

  132 K-Means Clustering in R.mp4

36.91 MB

  quizzes

   006 K-Means Clustering.html

4.12 KB

 22 Hierarchical Clustering

  133 Hierarchical Clustering Intuition.mp4

16.52 MB

  134 Hierarchical Clustering How Dendrograms Work.mp4

17.46 MB

  135 Hierarchical Clustering Using Dendrograms.mp4

22.81 MB

  136 How to get the dataset.mp4

11.71 MB

  137 HC in Python - Step 1.mp4

13.77 MB

  138 HC in Python - Step 2.mp4

15.51 MB

  139 HC in Python - Step 3.mp4

16.17 MB

  140 HC in Python - Step 4.mp4

21.32 MB

  141 HC in Python - Step 5.mp4

9.92 MB

  142 HC in R - Step 1.mp4

8.59 MB

  143 HC in R - Step 2.mp4

13.87 MB

  144 HC in R - Step 3.mp4

9.95 MB

  145 HC in R - Step 4.mp4

10.17 MB

  146 HC in R - Step 5.mp4

13.68 MB

  147 Conclusion of Part 4 - Clustering.html

0.79 KB

  quizzes

   007 Hierarchical Clustering.html

4.38 KB

 23 ---------------------- Part 5 Association Rule Learning ----------------------

  148 Welcome to Part 5 - Association Rule Learning.html

0.70 KB

 24 Apriori

  149 Apriori Intuition.mp4

35.02 MB

  150 How to get the dataset.mp4

11.71 MB

  151 Apriori in R - Step 1.mp4

52.83 MB

  152 Apriori in R - Step 2.mp4

38.81 MB

  153 Apriori in R - Step 3.mp4

56.51 MB

  154 Apriori in Python - Step 1.mp4

47.41 MB

  155 Apriori in Python - Step 2.mp4

37.32 MB

  156 Apriori in Python - Step 3.mp4

35.30 MB

 25 Eclat

  157 Eclat Intuition.mp4

10.65 MB

  158 How to get the dataset.mp4

11.71 MB

  159 Eclat in R.mp4

25.26 MB

  attached_files

   159 Eclat in R

    Eclat.zip

48.54 KB

 26 ------------------------ Part 6 Reinforcement Learning ------------------------

  160 Welcome to Part 6 - Reinforcement Learning.html

1.09 KB

 27 Upper Confidence Bound UCB

  161 The Multi-Armed Bandit Problem.mp4

30.19 MB

  162 Upper Confidence Bound UCB Intuition.mp4

29.32 MB

  163 How to get the dataset.mp4

11.71 MB

  164 Upper Confidence Bound in Python - Step 1.mp4

39.01 MB

  165 Upper Confidence Bound in Python - Step 2.mp4

44.49 MB

  166 Upper Confidence Bound in Python - Step 3.mp4

53.71 MB

  167 Upper Confidence Bound in Python - Step 4.mp4

12.44 MB

  168 Upper Confidence Bound in R - Step 1.mp4

34.01 MB

  169 Upper Confidence Bound in R - Step 2.mp4

34.10 MB

  170 Upper Confidence Bound in R - Step 3.mp4

57.84 MB

  171 Upper Confidence Bound in R - Step 4.mp4

9.55 MB

 28 Thompson Sampling

  172 Thompson Sampling Intuition.mp4

37.27 MB

  173 Algorithm Comparison UCB vs Thompson Sampling.mp4

14.08 MB

  174 How to get the dataset.mp4

11.71 MB

  175 Thompson Sampling in Python - Step 1.mp4

55.52 MB

  176 Thompson Sampling in Python - Step 2.mp4

11.22 MB

  177 Thompson Sampling in R - Step 1.mp4

51.04 MB

  178 Thompson Sampling in R - Step 2.mp4

9.56 MB

 29 --------------------- Part 7 Natural Language Processing ---------------------

  179 Welcome to Part 7 - Natural Language Processing.html

2.00 KB

  180 How to get the dataset.mp4

11.71 MB

  181 Natural Language Processing in Python - Step 1.mp4

46.06 MB

  182 Natural Language Processing in Python - Step 2.mp4

27.44 MB

  183 Natural Language Processing in Python - Step 3.mp4

4.16 MB

  184 Natural Language Processing in Python - Step 4.mp4

29.75 MB

  185 Natural Language Processing in Python - Step 5.mp4

18.80 MB

  186 Natural Language Processing in Python - Step 6.mp4

8.32 MB

  187 Natural Language Processing in Python - Step 7.mp4

22.13 MB

  188 Natural Language Processing in Python - Step 8.mp4

52.02 MB

  189 Natural Language Processing in Python - Step 9.mp4

18.90 MB

  190 Natural Language Processing in Python - Step 10.mp4

32.91 MB

  191 Homework Challenge.html

1.65 KB

  192 Natural Language Processing in R - Step 1.mp4

51.20 MB

  193 Natural Language Processing in R - Step 2.mp4

21.66 MB

  194 Natural Language Processing in R - Step 3.mp4

16.89 MB

  195 Natural Language Processing in R - Step 4.mp4

8.24 MB

  196 Natural Language Processing in R - Step 5.mp4

5.78 MB

  197 Natural Language Processing in R - Step 6.mp4

16.09 MB

  198 Natural Language Processing in R - Step 7.mp4

9.59 MB

  199 Natural Language Processing in R - Step 8.mp4

17.23 MB

  200 Natural Language Processing in R - Step 9.mp4

37.69 MB

  201 Natural Language Processing in R - Step 10.mp4

54.14 MB

  202 Homework Challenge.html

1.68 KB

 30 ---------------------------- Part 8 Deep Learning ----------------------------

  203 Welcome to Part 8 - Deep Learning.html

1.15 KB

  204 What is Deep Learning.mp4

31.31 MB

 31 Artificial Neural Networks

  205 Plan of attack.mp4

4.74 MB

  206 The Neuron.mp4

29.86 MB

  207 The Activation Function.mp4

14.75 MB

  208 How do Neural Networks work.mp4

23.53 MB

  209 How do Neural Networks learn.mp4

26.55 MB

  210 Gradient Descent.mp4

18.53 MB

  211 Stochastic Gradient Descent.mp4

16.82 MB

  212 Backpropagation.mp4

10.92 MB

  213 How to get the dataset.mp4

11.71 MB

  214 Business Problem Description.mp4

29.23 MB

  215 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp4

37.45 MB

  216 ANN in Python - Step 2.mp4

84.87 MB

  217 ANN in Python - Step 3.mp4

14.62 MB

  218 ANN in Python - Step 4.mp4

9.69 MB

  219 ANN in Python - Step 5.mp4

39.36 MB

  220 ANN in Python - Step 6.mp4

11.93 MB

  221 ANN in Python - Step 7.mp4

14.92 MB

  222 ANN in Python - Step 8.mp4

34.03 MB

  223 ANN in Python - Step 9.mp4

28.47 MB

  224 ANN in Python - Step 10.mp4

28.42 MB

  225 ANN in R - Step 1.mp4

49.89 MB

  226 ANN in R - Step 2.mp4

18.24 MB

  227 ANN in R - Step 3.mp4

37.85 MB

  228 ANN in R - Step 4 Last step.mp4

43.75 MB

 32 Convolutional Neural Networks

  229 Plan of attack.mp4

5.90 MB

  230 What are convolutional neural networks.mp4

29.50 MB

  231 Step 1 - Convolution Operation.mp4

31.02 MB

  232 Step 1b - ReLU Layer.mp4

14.09 MB

  233 Step 2 - Pooling.mp4

40.24 MB

  234 Step 3 - Flattening.mp4

3.27 MB

  235 Step 4 - Full Connection.mp4

42.74 MB

  236 Summary.mp4

7.91 MB

  237 Softmax Cross-Entropy.mp4

33.23 MB

  238 How to get the dataset.mp4

11.71 MB

  239 CNN in Python - Step 1.mp4

30.60 MB

  240 CNN in Python - Step 2.mp4

7.20 MB

  241 CNN in Python - Step 3.mp4

2.80 MB

  242 CNN in Python - Step 4.mp4

34.62 MB

  243 CNN in Python - Step 5.mp4

12.38 MB

  244 CNN in Python - Step 6.mp4

11.94 MB

  245 CNN in Python - Step 7.mp4

16.65 MB

  246 CNN in Python - Step 8.mp4

8.95 MB

  247 CNN in Python - Step 9.mp4

62.41 MB

  248 CNN in Python - Step 10.mp4

27.74 MB

  249 CNN in R.html

2.65 KB

 33 ----------------------- Part 9 Dimensionality Reduction -----------------------

  250 Welcome to Part 9 - Dimensionality Reduction.html

1.57 KB

 34 Principal Component Analysis PCA

  251 How to get the dataset.mp4

11.71 MB

  252 PCA in Python - Step 1.mp4

31.95 MB

  253 PCA in Python - Step 2.mp4

22.07 MB

  254 PCA in Python - Step 3.mp4

25.51 MB

  255 PCA in R - Step 1.mp4

30.65 MB

  256 PCA in R - Step 2.mp4

29.02 MB

  257 PCA in R - Step 3.mp4

36.73 MB

 35 Linear Discriminant Analysis LDA

  258 How to get the dataset.mp4

11.71 MB

  259 LDA in Python.mp4

45.42 MB

  260 LDA in R.mp4

51.29 MB

 36 Kernel PCA

  261 How to get the dataset.mp4

11.71 MB

  262 Kernel PCA in Python.mp4

33.38 MB

  263 Kernel PCA in R.mp4

56.57 MB

 37 --------------------- Part 10 Model Selection Boosting ---------------------

  264 Welcome to Part 10 - Model Selection Boosting.html

1.19 KB

 38 Model Selection

  265 How to get the dataset.mp4

11.71 MB

  266 k-Fold Cross Validation in Python.mp4

32.83 MB

  267 k-Fold Cross Validation in R.mp4

43.63 MB

  268 Grid Search in Python - Step 1.mp4

38.21 MB

  269 Grid Search in Python - Step 2.mp4

29.51 MB

  270 Grid Search in R.mp4

35.54 MB

 39 XGBoost

  271 How to get the dataset.mp4

11.71 MB

  272 XGBoost in Python - Step 1.mp4

21.39 MB

  273 XGBoost in Python - Step 2.mp4

31.97 MB

  274 XGBoost in R.mp4

47.26 MB

 40 Bonus Lectures

  275 YOUR SPECIAL BONUS.html

5.02 KB

 [FreeCourseSite.com].txt

1.07 KB

 [FreeCourseSite.com].url

0.12 KB

 [HaxTech.me].txt

1.05 KB

 [HaxTech.me].url

0.12 KB
 

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