Machine Learning Hands On Python and In Data Science | A53EE49F65525C27A457463830E4226D0316AA2B

Machine Learning Hands On Python and In Data Science

Name	Machine Learning A-Z - Hands-On Python and R In Data Science	DOWNLOAD Copy Link
Total Size	6.2 GB
Total Files	40
Last Seen	2024-10-27 00:01
Hash	A53EE49F65525C27A457463830E4226D0316AA2B

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31 Artificial Neural Networks.rar	530.5 MB
02 -------------------- Part 1 Data Preprocessing --------------------.rar	247.8 MB
03 -------------------- Part 2 Regression --------------------.rar	1.0 KB
04 Simple Linear Regression.rar	210.7 MB
05 Multiple Linear Regression.rar	384.0 MB
06 Polynomial Regression.rar	332.6 MB
07 Support Vector Regression (SVR).rar	125.8 MB
08 Decision Tree Regression.rar	126.0 MB
09 Random Forest Regression.rar	117.0 MB
10 Evaluating Regression Models Performance.rar	71.2 MB
11 -------------------- Part 3 Classification --------------------.rar	1.1 KB
12 Logistic Regression.rar	284.8 MB
13 K-Nearest Neighbors (K-NN).rar	116.4 MB
14 Support Vector Machine (SVM).rar	124.2 MB
15 Kernel SVM.rar	177.7 MB
16 Naive Bayes.rar	185.4 MB
17 Decision Tree Classification.rar	130.6 MB
18 Random Forest Classification.rar	152.0 MB
19 Evaluating Classification Models Performance.rar	44.6 MB
20 -------------------- Part 4 Clustering --------------------.rar	1.0 KB
21 K-Means Clustering.rar	148.2 MB
22 Hierarchical Clustering.rar	178.2 MB
23 -------------------- Part 5 Association Rule Learning --------------------.rar	0.9 KB
24 Apriori.rar	279.3 MB
25 Eclat.rar	44.3 MB
26 -------------------- Part 6 Reinforcement Learning --------------------.rar	1.1 KB
27 Upper Confidence Bound (UCB).rar	314.9 MB
28 Thompson Sampling.rar	171.2 MB
29 -------------------- Part 7 Natural Language Processing --------------------.rar	469.8 MB
30 -------------------- Part 8 Deep Learning --------------------.rar	26.7 MB
01 Welcome to the course.rar	124.0 MB
32 Convolutional Neural Networks.rar	370.7 MB
33 -------------------- Part 9 Dimensionality Reduction --------------------.rar	1.3 KB
34 Principal Component Analysis (PCA).rar	204.1 MB
35 Linear Discriminant Analysis (LDA).rar	119.8 MB
36 Kernel PCA.rar	96.6 MB
37 -------------------- Part 10 Model Selection Boosting --------------------.rar	1.2 KB
38 Model Selection.rar	175.6 MB
39 XGBoost.rar	105.2 MB
40 Bonus Lectures.rar	2.6 KB
Total files 40