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 How to treat Data in ML
Python for Machine Learning
Python Overview Pandas for Pre-Processing and Exploratory Data Analysis Numpy
Statistical Learning
Statistical analysis concepts Descriptive statistics Introduction to probability and Bayes
