Download Machine Learning AZ ™: Hands-On Python & R In Data Science – Getting Started with Python and R Data Science
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Curriculum:
– Welcome to the course!
– Simple Linear Regression
– Multiple Linear Regression
– Polynomial Regression
– Support Vector Regression (SVR)
– Decision Tree Regression
– Random Forest Regression
– Evaluating Regression Models Performance
– Logistic Regression
– K-Nearest Neighbors (K-NN)
– Support Vector Machine (SVM)
– Kernel SVM
– Naive Bayes
– Decision Tree Classification
– Random Forest Classification
– Evaluating Classification Models Performance
– K-Means Clustering
– Hierarchical Clustering
– Apriori
– Eclat
– Upper Confidence Bound (UCB)
– Thompson Sampling
– Artificial Neural Networks
– Convolutional Neural Networks
– Principal Component Analysis (PCA)
– Linear Discriminant Analysis (LDA)
– Kernel PCA
– Model Selection
– XGBoost
– Bonus Lectures
Screenshot Tutorials/Courses
Info Tutorials/Courses
Manufacturer: Yudomi / Udemy
Language: English
Teacher: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
Level of training: Elementary, Secondary, Advanced
Training time: 40 hours + 30 minutes
File size: 5060 MB
https://drive.google.com/open?id=1ViOTe51JuE7kN4YrjgU7dTyer80XDKNz
https://drive.google.com/open?id=1UH5x7zTh-4tpVJ9AzCVn0Rr7cXs5WVp7
https://officepro-my.sharepoint.com/:u:/g/personal/hoquangdai_5tb_rf_gd/Efm8go7Hu9xDgTp_FqaV0FIBdsG3ViDNxo90gXUos4wgWw?e=6hp0Do
Pass RAR : freetuts.download
