Market Basket Analysis

This module covers the use of Data Mining to analyze customer data and identify target customers. You will be introduced to Market Basket Analysis and its applications and will receive a summary of the Apriori algorithm.

This module helps you understand the planning of sales prediction using time series, ARIMA model explanation, real-time prediction examples such as Samsung tv, whirlpool fridge, and analysis of sales prediction. 

This module covers the problem statement of a personal insurance prediction using text analytics and gives you the solution using the different architectural models like vector space model ( VSM), and latent semantic analysis ( LSA) model.

This module helps you further understand the in-depth analysis of the vector space model and latent semantic analysis model with evaluation and results.

This module gives you an overview of sentimental analysis using NLTK python by taking touch skin healthcare mobile applications as an example. It also covers the training model and classifier model concepts in detail.