Recommendation Systems
Introduction to Recommendation Systems Types of Recommendation Techniques Collaborative Filtering
Ensemble Techniques
Decision Trees Case Study Introduction to Ensemble Learning Different Ensemble
Unsupervised Learning
Clustering approaches K Means clustering Hierarchical clustering Case Study
Supervised Learning
Linear Regression Case Study Logistic Regression Case Study K-NN Classification
Optimization
Maxima and Minima Cost Function Learning Rate Optimization Techniques
Introduction to Machine Learning
Machine Learning Modelling Flow Types of Machine Learning Performance Measures
R for Machine Learning
Intro to R Programming Installing and Loading Libraries Data Structures
Statistical Learning
Statistical analysis concepts Descriptive statistics Introduction to probability and Bayes
