Machine Learning in Business
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Introduction
Chapter # 02
An Introduction to R and Python
Modules & Slides
Introduction
Chapter # 01
Introduction to Machine Learning
Chapter # 02
An Introduction to R and Python
Supervised ML Algorithm
Chapter # 03
K Nearest Neighbor (KNN) Algorithm
Chapter # 04
Logistic Regression
Chapter # 05
Discriminant Analysis
Chapter # 06 (Part A)
Naive Bayes
Chapter # 06 (Part B)
Support Vector Machine (SVM)
Chapter # 07
Regression Analysis
Chapter # 08
Decision Tree
Unsupervised ML Algorithm
Chapter # 09
Dimension Reduction & PCA
Clustering
Chapter # 10
K-means Clustering
Appendix
Exploratory Data Analysis in R
Exploratory Data Analysis in Python
Slides
Chapter # 01
Introduction to Machine Learning
Chapter # 03
K Nearest Neighbor (KNN)
Introduction
Chapter # 02
An Introduction to R and Python
Chapter # 02
An Introduction to R and Python
Please see the Appendix to learn about R and Python
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Chapter # 01
Introduction to Machine Learning
Chapter # 03
K Nearest Neighbor (KNN) Algorithm