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

Size
5.8 GB
Seeders
3
Leechers
0
Files
40
Category
Added
07/13/20 at 5:44am GMT+1
Status
Not verified
Infohash
a53ee49f65525c27a457463830e4226d0316aa2b


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

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