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

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Category:
 Other
Date:
07/13/20 at 5:44am GMT+1
Submitter:
Unknown
Seeders:
3
Leechers:
0
File size:
5.8 GB in 40 files

Torrent Status:
  This torrent has NOT been verified. 

Infohash:
a53ee49f65525c27a457463830e4226d0316aa2b


File list

  • Machine Learning A-Z - Hands-On Python and R In Data Science
  • icon 01 Welcome to the course.rar 118.3 MB
    icon 02 -------------------- Part 1 Data Preprocessing --------------------.rar 236.3 MB
    icon 03 -------------------- Part 2 Regression --------------------.rar 1 KB
    icon 04 Simple Linear Regression.rar 200.9 MB
    icon 05 Multiple Linear Regression.rar 366.2 MB
    icon 06 Polynomial Regression.rar 317.1 MB
    icon 07 Support Vector Regression (SVR).rar 120 MB
    icon 08 Decision Tree Regression.rar 120.1 MB
    icon 09 Random Forest Regression.rar 111.6 MB
    icon 10 Evaluating Regression Models Performance.rar 67.9 MB
    icon 11 -------------------- Part 3 Classification --------------------.rar 1 KB
    icon 12 Logistic Regression.rar 271.6 MB
    icon 13 K-Nearest Neighbors (K-NN).rar 111 MB
    icon 14 Support Vector Machine (SVM).rar 118.5 MB
    icon 15 Kernel SVM.rar 169.5 MB
    icon 16 Naive Bayes.rar 176.8 MB
    icon 17 Decision Tree Classification.rar 124.5 MB
    icon 18 Random Forest Classification.rar 144.9 MB
    icon 19 Evaluating Classification Models Performance.rar 42.5 MB
    icon 20 -------------------- Part 4 Clustering --------------------.rar 1 KB
    icon 21 K-Means Clustering.rar 141.3 MB
    icon 22 Hierarchical Clustering.rar 169.9 MB
    icon 23 -------------------- Part 5 Association Rule Learning --------------------.rar 906 B
    icon 24 Apriori.rar 266.4 MB
    icon 25 Eclat.rar 42.2 MB
    icon 26 -------------------- Part 6 Reinforcement Learning --------------------.rar 1.1 KB
    icon 27 Upper Confidence Bound (UCB).rar 300.3 MB
    icon 28 Thompson Sampling.rar 163.3 MB
    icon 29 -------------------- Part 7 Natural Language Processing --------------------.rar 448 MB
    icon 30 -------------------- Part 8 Deep Learning --------------------.rar 25.5 MB
    icon 31 Artificial Neural Networks.rar 506 MB
    icon 32 Convolutional Neural Networks.rar 353.5 MB
    icon 33 -------------------- Part 9 Dimensionality Reduction --------------------.rar 1.2 KB
    icon 34 Principal Component Analysis (PCA).rar 194.7 MB
    icon 35 Linear Discriminant Analysis (LDA).rar 114.3 MB
    icon 36 Kernel PCA.rar 92.2 MB
    icon 37 -------------------- Part 10 Model Selection Boosting --------------------.rar 1.1 KB
    icon 38 Model Selection.rar 167.5 MB
    icon 39 XGBoost.rar 100.4 MB
    icon 40 Bonus Lectures.rar 2.5 KB

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