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种子名称： Machine Learning A-Z - Hands On Python and R In Data Science
文件类型： 视频
文件数目： 198个文件
文件大小： 5.55 GB
收录时间： 2017-12-15 16:12
已经下载： 3次
资源热度： 364
最近下载： 2024-6-11 14:27

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Machine Learning A-Z - Hands On Python and R In Data Science.torrent

01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp423.96MB

01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp423.21MB

01 Welcome to the course/002 Why Machine Learning is the Future.mp414.48MB

01 Welcome to the course/001 Applications of Machine Learning.mp49.81MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp452.88MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp450.91MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp444.59MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp439.32MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp428.64MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp425.86MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp413.56MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp47.24MB

02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp43.52MB

04 Simple Linear Regression/027 Simple Linear Regression in R - Step 4.mp449.16MB

04 Simple Linear Regression/023 Simple Linear Regression in Python - Step 4.mp439.37MB

04 Simple Linear Regression/020 Simple Linear Regression in Python - Step 1.mp427.92MB

04 Simple Linear Regression/025 Simple Linear Regression in R - Step 2.mp424.87MB

04 Simple Linear Regression/021 Simple Linear Regression in Python - Step 2.mp424.62MB

04 Simple Linear Regression/022 Simple Linear Regression in Python - Step 3.mp420.55MB

04 Simple Linear Regression/024 Simple Linear Regression in R - Step 1.mp411.52MB

04 Simple Linear Regression/026 Simple Linear Regression in R - Step 3.mp411.42MB

04 Simple Linear Regression/018 Simple Linear Regression Intuition - Step 1.mp410.52MB

04 Simple Linear Regression/017 Dataset Business Problem Description.mp47.77MB

04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 2.mp45.99MB

05 Multiple Linear Regression/038 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp459.14MB

05 Multiple Linear Regression/037 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp454.54MB

05 Multiple Linear Regression/039 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp454.26MB

05 Multiple Linear Regression/034 Multiple Linear Regression in Python - Step 1.mp452.18MB

05 Multiple Linear Regression/043 Multiple Linear Regression in R - Backward Elimination - HOMEWORK.mp450.78MB

05 Multiple Linear Regression/041 Multiple Linear Regression in R - Step 2.mp445.22MB

05 Multiple Linear Regression/033 Multiple Linear Regression Intuition - Step 5.mp432.8MB

05 Multiple Linear Regression/036 Multiple Linear Regression in Python - Step 3.mp425.48MB

05 Multiple Linear Regression/040 Multiple Linear Regression in R - Step 1.mp423.44MB

05 Multiple Linear Regression/044 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp421.95MB

05 Multiple Linear Regression/031 Multiple Linear Regression Intuition - Step 3.mp416.59MB

05 Multiple Linear Regression/042 Multiple Linear Regression in R - Step 3.mp413.85MB

05 Multiple Linear Regression/028 Dataset Business Problem Description.mp412.56MB

05 Multiple Linear Regression/035 Multiple Linear Regression in Python - Step 2.mp49.84MB

05 Multiple Linear Regression/032 Multiple Linear Regression Intuition - Step 4.mp45.34MB

05 Multiple Linear Regression/030 Multiple Linear Regression Intuition - Step 2.mp42.03MB

05 Multiple Linear Regression/029 Multiple Linear Regression Intuition - Step 1.mp42MB

06 Polynomial Regression/053 Polynomial Regression in R - Step 3.mp454.8MB

06 Polynomial Regression/048 Polynomial Regression in Python - Step 3.mp454.5MB

06 Polynomial Regression/050 Python Regression Template.mp436.78MB

06 Polynomial Regression/047 Polynomial Regression in Python - Step 2.mp435.11MB

06 Polynomial Regression/052 Polynomial Regression in R - Step 2.mp432.28MB

06 Polynomial Regression/046 Polynomial Regression in Python - Step 1.mp431.64MB

06 Polynomial Regression/055 R Regression Template.mp431.33MB

06 Polynomial Regression/054 Polynomial Regression in R - Step 4.mp428.52MB

06 Polynomial Regression/051 Polynomial Regression in R - Step 1.mp421.21MB

06 Polynomial Regression/049 Polynomial Regression in Python - Step 4.mp417.65MB

06 Polynomial Regression/045 Polynomial Regression Intuition.mp49.44MB

07 Support Vector Regression SVR/056 SVR in Python.mp460.22MB

07 Support Vector Regression SVR/057 SVR in R.mp433.73MB

08 Decision Tree Regression/060 Decision Tree Regression in R.mp456.23MB

08 Decision Tree Regression/059 Decision Tree Regression in Python.mp443.44MB

08 Decision Tree Regression/058 Decision Tree Regression Intuition.mp425.33MB

09 Random Forest Regression/062 Random Forest Regression in Python.mp452.69MB

09 Random Forest Regression/063 Random Forest Regression in R.mp451.86MB

09 Random Forest Regression/061 Random Forest Regression Intuition.mp415.65MB

10 Evaluating Regression Models Performance/066 Evaluating Regression Models Performance - Homeworks Final Part.mp428.35MB

10 Evaluating Regression Models Performance/067 Interpreting Linear Regression Coefficients.mp427.38MB

10 Evaluating Regression Models Performance/065 Adjusted R-Squared Intuition.mp421.41MB

10 Evaluating Regression Models Performance/064 R-Squared Intuition.mp49.8MB

12 Logistic Regression/080 Logistic Regression in R - Step 5.mp493.76MB

12 Logistic Regression/074 Logistic Regression in Python - Step 5.mp453.15MB

12 Logistic Regression/069 Logistic Regression Intuition.mp429.17MB

12 Logistic Regression/078 Logistic Regression in R - Step 3.mp427.44MB

12 Logistic Regression/075 Python Classification Template.mp417.58MB

12 Logistic Regression/081 R Classification Template.mp417.5MB

12 Logistic Regression/070 Logistic Regression in Python - Step 1.mp416.84MB

12 Logistic Regression/076 Logistic Regression in R - Step 1.mp415.72MB

12 Logistic Regression/077 Logistic Regression in R - Step 2.mp414.85MB

12 Logistic Regression/073 Logistic Regression in Python - Step 4.mp413.87MB

12 Logistic Regression/079 Logistic Regression in R - Step 4.mp411.73MB

12 Logistic Regression/071 Logistic Regression in Python - Step 2.mp411.1MB

12 Logistic Regression/072 Logistic Regression in Python - Step 3.mp47.98MB

13 K-Nearest Neighbors K-NN/084 K-NN in R.mp455.77MB

13 K-Nearest Neighbors K-NN/083 K-NN in Python.mp446.98MB

13 K-Nearest Neighbors K-NN/082 K-Nearest Neighbor Intuition.mp410.48MB

14 Support Vector Machine SVM/087 SVM in R.mp465.31MB

14 Support Vector Machine SVM/086 SVM in Python.mp441.71MB

14 Support Vector Machine SVM/085 SVM Intuition.mp419.92MB

15 Kernel SVM/092 Kernel SVM in Python.mp454.86MB

15 Kernel SVM/093 Kernel SVM in R.mp452.82MB

15 Kernel SVM/090 The Kernel Trick.mp434.72MB

15 Kernel SVM/091 Types of Kernel Functions.mp415.71MB

15 Kernel SVM/089 Mapping to a higher dimension.mp415.39MB

15 Kernel SVM/088 Kernel SVM Intuition.mp46.42MB

16 Naive Bayes/094 Bayes Theorem.mp450.43MB

16 Naive Bayes/099 Naive Bayes in R.mp449.79MB

16 Naive Bayes/098 Naive Bayes in Python.mp431.14MB

16 Naive Bayes/095 Naive Bayes Intuition.mp431.1MB

16 Naive Bayes/097 Naive Bayes Intuition Extras.mp418.94MB

16 Naive Bayes/096 Naive Bayes Intuition Challenge Reveal.mp413.27MB

17 Decision Tree Classification/102 Decision Tree Classification in R.mp468.18MB

17 Decision Tree Classification/101 Decision Tree Classification in Python.mp438.85MB

17 Decision Tree Classification/100 Decision Tree Classification Intuition.mp421.63MB

18 Random Forest Classification/105 Random Forest Classification in R.mp464.11MB

18 Random Forest Classification/104 Random Forest Classification in Python.mp462.04MB

18 Random Forest Classification/103 Random Forest Classification Intuition.mp425.66MB

19 Evaluating Classification Models Performance/109 CAP Curve.mp420.31MB

19 Evaluating Classification Models Performance/106 False Positives False Negatives.mp415.12MB

19 Evaluating Classification Models Performance/110 CAP Curve Analysis.mp412.94MB

19 Evaluating Classification Models Performance/107 Confusion Matrix.mp48.91MB

19 Evaluating Classification Models Performance/108 Accuracy Paradox.mp44.21MB

21 K-Means Clustering/115 K-Means Clustering in Python.mp449.81MB

21 K-Means Clustering/116 K-Means Clustering in R.mp436.91MB

21 K-Means Clustering/112 K-Means Clustering Intuition.mp429.97MB

21 K-Means Clustering/114 K-Means Selecting The Number Of Clusters.mp425.68MB

21 K-Means Clustering/113 K-Means Random Initialization Trap.mp415.36MB

22 Hierarchical Clustering/119 Hierarchical Clustering Using Dendrograms.mp422.81MB

22 Hierarchical Clustering/123 HC in Python - Step 4.mp421.32MB

22 Hierarchical Clustering/118 Hierarchical Clustering How Dendrograms Work.mp417.46MB

22 Hierarchical Clustering/117 Hierarchical Clustering Intuition.mp416.52MB

22 Hierarchical Clustering/122 HC in Python - Step 3.mp416.17MB

22 Hierarchical Clustering/121 HC in Python - Step 2.mp415.51MB

22 Hierarchical Clustering/126 HC in R - Step 2.mp413.87MB

22 Hierarchical Clustering/120 HC in Python - Step 1.mp413.77MB

22 Hierarchical Clustering/129 HC in R - Step 5.mp413.68MB

22 Hierarchical Clustering/128 HC in R - Step 4.mp410.17MB

22 Hierarchical Clustering/127 HC in R - Step 3.mp49.95MB

22 Hierarchical Clustering/124 HC in Python - Step 5.mp49.92MB

22 Hierarchical Clustering/125 HC in R - Step 1.mp48.59MB

24 Apriori/133 Apriori in R - Step 3.mp456.51MB

24 Apriori/131 Apriori in R - Step 1.mp452.83MB

24 Apriori/134 Apriori in Python - Step 1.mp447.41MB

24 Apriori/132 Apriori in R - Step 2.mp438.81MB

24 Apriori/135 Apriori in Python - Step 2.mp437.32MB

24 Apriori/136 Apriori in Python - Step 3.mp435.3MB

25 Eclat/137 Eclat in R.mp425.26MB

27 Upper Confidence Bound UCB/145 Upper Confidence Bound in R - Step 3.mp457.84MB

27 Upper Confidence Bound UCB/141 Upper Confidence Bound in Python - Step 3.mp453.71MB

27 Upper Confidence Bound UCB/140 Upper Confidence Bound in Python - Step 2.mp444.49MB

27 Upper Confidence Bound UCB/139 Upper Confidence Bound in Python - Step 1.mp439.01MB

27 Upper Confidence Bound UCB/144 Upper Confidence Bound in R - Step 2.mp434.1MB

27 Upper Confidence Bound UCB/143 Upper Confidence Bound in R - Step 1.mp434.01MB

27 Upper Confidence Bound UCB/142 Upper Confidence Bound in Python - Step 4.mp412.44MB

27 Upper Confidence Bound UCB/146 Upper Confidence Bound in R - Step 4.mp49.55MB

28 Thompson Sampling/147 Thompson Sampling in Python - Step 1.mp455.52MB

28 Thompson Sampling/149 Thompson Sampling in R - Step 1.mp451.04MB

28 Thompson Sampling/148 Thompson Sampling in Python - Step 2.mp411.22MB

28 Thompson Sampling/150 Thompson Sampling in R - Step 2.mp49.56MB

29 --------------------- Part 7 Natural Language Processing ---------------------/172 Natural Language Processing in R - Step 10.mp454.14MB

29 --------------------- Part 7 Natural Language Processing ---------------------/159 Natural Language Processing in Python - Step 8.mp452.02MB

29 --------------------- Part 7 Natural Language Processing ---------------------/163 Natural Language Processing in R - Step 1.mp451.2MB

29 --------------------- Part 7 Natural Language Processing ---------------------/152 Natural Language Processing in Python - Step 1.mp446.06MB

29 --------------------- Part 7 Natural Language Processing ---------------------/171 Natural Language Processing in R - Step 9.mp437.69MB

29 --------------------- Part 7 Natural Language Processing ---------------------/161 Natural Language Processing in Python - Step 10.mp432.91MB

29 --------------------- Part 7 Natural Language Processing ---------------------/155 Natural Language Processing in Python - Step 4.mp429.75MB

29 --------------------- Part 7 Natural Language Processing ---------------------/153 Natural Language Processing in Python - Step 2.mp427.44MB

29 --------------------- Part 7 Natural Language Processing ---------------------/158 Natural Language Processing in Python - Step 7.mp422.13MB

29 --------------------- Part 7 Natural Language Processing ---------------------/164 Natural Language Processing in R - Step 2.mp421.66MB

29 --------------------- Part 7 Natural Language Processing ---------------------/160 Natural Language Processing in Python - Step 9.mp418.9MB

29 --------------------- Part 7 Natural Language Processing ---------------------/156 Natural Language Processing in Python - Step 5.mp418.8MB

29 --------------------- Part 7 Natural Language Processing ---------------------/170 Natural Language Processing in R - Step 8.mp417.23MB

29 --------------------- Part 7 Natural Language Processing ---------------------/165 Natural Language Processing in R - Step 3.mp416.89MB

29 --------------------- Part 7 Natural Language Processing ---------------------/168 Natural Language Processing in R - Step 6.mp416.09MB

29 --------------------- Part 7 Natural Language Processing ---------------------/169 Natural Language Processing in R - Step 7.mp49.59MB

29 --------------------- Part 7 Natural Language Processing ---------------------/157 Natural Language Processing in Python - Step 6.mp48.32MB

29 --------------------- Part 7 Natural Language Processing ---------------------/166 Natural Language Processing in R - Step 4.mp48.24MB

29 --------------------- Part 7 Natural Language Processing ---------------------/167 Natural Language Processing in R - Step 5.mp45.78MB

29 --------------------- Part 7 Natural Language Processing ---------------------/154 Natural Language Processing in Python - Step 3.mp44.16MB

31 Artificial Neural Networks/177 ANN in Python - Step 2.mp484.87MB

31 Artificial Neural Networks/186 ANN in R - Step 1.mp449.89MB

31 Artificial Neural Networks/189 ANN in R - Step 4 Last step.mp443.75MB

31 Artificial Neural Networks/180 ANN in Python - Step 5.mp439.36MB

31 Artificial Neural Networks/188 ANN in R - Step 3.mp437.85MB

31 Artificial Neural Networks/176 ANN in Python - Step 1 - Installing Theano Tensorflow and Keras.mp437.45MB

31 Artificial Neural Networks/183 ANN in Python - Step 8.mp434.03MB

31 Artificial Neural Networks/175 Business Problem Description.mp429.23MB

31 Artificial Neural Networks/184 ANN in Python - Step 9.mp428.47MB

31 Artificial Neural Networks/185 ANN in Python - Step 10.mp428.42MB

31 Artificial Neural Networks/187 ANN in R - Step 2.mp418.24MB

31 Artificial Neural Networks/182 ANN in Python - Step 7.mp414.92MB

31 Artificial Neural Networks/178 ANN in Python - Step 3.mp414.62MB

31 Artificial Neural Networks/181 ANN in Python - Step 6.mp411.93MB

31 Artificial Neural Networks/179 ANN in Python - Step 4.mp49.69MB

32 Convolutional Neural Networks/198 CNN in Python - Step 9.mp462.41MB

32 Convolutional Neural Networks/193 CNN in Python - Step 4.mp434.62MB

32 Convolutional Neural Networks/190 CNN in Python - Step 1.mp430.6MB

32 Convolutional Neural Networks/199 CNN in Python - Step 10.mp427.74MB

32 Convolutional Neural Networks/196 CNN in Python - Step 7.mp416.65MB

32 Convolutional Neural Networks/194 CNN in Python - Step 5.mp412.38MB

32 Convolutional Neural Networks/195 CNN in Python - Step 6.mp411.94MB

32 Convolutional Neural Networks/197 CNN in Python - Step 8.mp48.95MB

32 Convolutional Neural Networks/191 CNN in Python - Step 2.mp47.2MB

32 Convolutional Neural Networks/192 CNN in Python - Step 3.mp42.8MB

34 Principal Component Analysis PCA/202 PCA in Python - Step 1.mp431.95MB

34 Principal Component Analysis PCA/204 PCA in Python - Step 3.mp425.51MB

34 Principal Component Analysis PCA/203 PCA in Python - Step 2.mp422.07MB

35 Linear Discriminant Analysis LDA/205 LDA in Python.mp445.42MB

36 Kernel PCA/206 Kernel PCA in Python.mp433.38MB

38 Model Selection/209 Grid Search in Python - Step 1.mp438.21MB

38 Model Selection/208 k-Fold Cross Validation in Python.mp432.83MB

38 Model Selection/210 Grid Search in Python - Step 2.mp429.51MB

39 XGBoost/212 XGBoost in Python - Step 2.mp431.97MB

39 XGBoost/211 XGBoost in Python - Step 1.mp421.39MB