Machine Learning A-Z - Hands-On Python and R In Data Science
- 收录时间:2020-05-29 14:30:20
- 文件大小:6GB
- 下载次数:75
- 最近下载:2021-01-19 22:02:03
- 磁力链接:
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文件列表
- 31 Artificial Neural Networks.rar 506MB
- 29 -------------------- Part 7 Natural Language Processing --------------------.rar 448MB
- 05 Multiple Linear Regression.rar 366MB
- 32 Convolutional Neural Networks.rar 354MB
- 06 Polynomial Regression.rar 317MB
- 27 Upper Confidence Bound (UCB).rar 300MB
- 12 Logistic Regression.rar 272MB
- 24 Apriori.rar 266MB
- 02 -------------------- Part 1 Data Preprocessing --------------------.rar 236MB
- 04 Simple Linear Regression.rar 201MB
- 34 Principal Component Analysis (PCA).rar 195MB
- 16 Naive Bayes.rar 177MB
- 22 Hierarchical Clustering.rar 170MB
- 15 Kernel SVM.rar 170MB
- 38 Model Selection.rar 167MB
- 28 Thompson Sampling.rar 163MB
- 18 Random Forest Classification.rar 145MB
- 21 K-Means Clustering.rar 141MB
- 17 Decision Tree Classification.rar 125MB
- 08 Decision Tree Regression.rar 120MB
- 07 Support Vector Regression (SVR).rar 120MB
- 14 Support Vector Machine (SVM).rar 118MB
- 01 Welcome to the course.rar 118MB
- 35 Linear Discriminant Analysis (LDA).rar 114MB
- 09 Random Forest Regression.rar 112MB
- 13 K-Nearest Neighbors (K-NN).rar 111MB
- 39 XGBoost.rar 100MB
- 36 Kernel PCA.rar 92MB
- 10 Evaluating Regression Models Performance.rar 68MB
- 19 Evaluating Classification Models Performance.rar 43MB
- 25 Eclat.rar 42MB
- 30 -------------------- Part 8 Deep Learning --------------------.rar 25MB
- 40 Bonus Lectures.rar 3KB
- 33 -------------------- Part 9 Dimensionality Reduction --------------------.rar 1KB
- 37 -------------------- Part 10 Model Selection Boosting --------------------.rar 1KB
- 26 -------------------- Part 6 Reinforcement Learning --------------------.rar 1KB
- 11 -------------------- Part 3 Classification --------------------.rar 1KB
- 03 -------------------- Part 2 Regression --------------------.rar 1KB
- 20 -------------------- Part 4 Clustering --------------------.rar 1KB
- 23 -------------------- Part 5 Association Rule Learning --------------------.rar 906B