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

File Name
Size
31 Artificial Neural Networks.rar
506 MB
02 -------------------- Part 1 Data Preprocessing --------------------.rar
236 MB
03 -------------------- Part 2 Regression --------------------.rar
1.0 kB
04 Simple Linear Regression.rar
201 MB
05 Multiple Linear Regression.rar
366 MB
06 Polynomial Regression.rar
317 MB
07 Support Vector Regression (SVR).rar
120 MB
08 Decision Tree Regression.rar
120 MB
09 Random Forest Regression.rar
112 MB
10 Evaluating Regression Models Performance.rar
68 MB
11 -------------------- Part 3 Classification --------------------.rar
1.0 kB
12 Logistic Regression.rar
272 MB
13 K-Nearest Neighbors (K-NN).rar
111 MB
14 Support Vector Machine (SVM).rar
118 MB
15 Kernel SVM.rar
170 MB
16 Naive Bayes.rar
177 MB
17 Decision Tree Classification.rar
124 MB
18 Random Forest Classification.rar
145 MB
19 Evaluating Classification Models Performance.rar
42 MB
20 -------------------- Part 4 Clustering --------------------.rar
1.0 kB
21 K-Means Clustering.rar
141 MB
22 Hierarchical Clustering.rar
170 MB
23 -------------------- Part 5 Association Rule Learning --------------------.rar
906 B
24 Apriori.rar
266 MB
25 Eclat.rar
42 MB
26 -------------------- Part 6 Reinforcement Learning --------------------.rar
1.1 kB
27 Upper Confidence Bound (UCB).rar
300 MB
28 Thompson Sampling.rar
163 MB
29 -------------------- Part 7 Natural Language Processing --------------------.rar
448 MB
30 -------------------- Part 8 Deep Learning --------------------.rar
26 MB
01 Welcome to the course.rar
118 MB
32 Convolutional Neural Networks.rar
354 MB
33 -------------------- Part 9 Dimensionality Reduction --------------------.rar
1.2 kB
34 Principal Component Analysis (PCA).rar
195 MB
35 Linear Discriminant Analysis (LDA).rar
114 MB
36 Kernel PCA.rar
92 MB
37 -------------------- Part 10 Model Selection Boosting --------------------.rar
1.1 kB
38 Model Selection.rar
168 MB
39 XGBoost.rar
100 MB
40 Bonus Lectures.rar
2.5 kB