Chapter 1: Evolution of Data
Chapter 2: Introduction to Machine Learning
Chapter 3: Data Processing
Chapter 4: Linear Regression
Chapter 5: Logistic Regression
Chapter 6: Random Forests
Chapter 7: Recommender Systems
Chapter 8: Clustering
Chapter 9: Natural Language Processing
Pramod Singh is an established data scientist with over eight years of experience in data and solving business challenges. He has worked in organizations such as Infosys, Tally and SapientRazorfish. Also, president of a data science meet-up group and regular speaker at various webinars. Recently spoke at major conference: GIDS 2018 and presented a session on “Sequence Embedding in Spark” which was well received. He has an online Udemy course on machine learning.