Book Content
chapters • 15h40m total length
1. Analyzing Insurance Severity Claim
2. Analyzing Outgoing Customers through Churn Prediction
3. High Frequency Bitcoin Price Prediction from Historical and Live Data
4. Population Scale Clustering and Ethnicity Analysis
5. Topic Modelling in NLP: A Better Insight to Large-Scale Texts
6. Model-based Movie Recommendation Engine
7. Deep Reinforcement Learning using Markov Decision Process (MDP)
8. Using Deep Belief Networks in Bank Marketing
9. Fraud Analytics using Autoencoders and Anomaly Detection
10. Human Activity Recognition using RNN
11. Image Classification using CNN
