Description
Section 1 – Data Visualization, Data Summarization & Data Processing
Section 2 – Probability distributions, Estimation and Hypothesis Testing
Section 3 – Predictive Modelling using Stepwise Regression
Section 4 – Building Classification models using General Linear Modelling
Section 5 – Tree Based Method & Segmentation
Section 6 – Modern Supervised Learning – SVM, LDA & Naive Bayes
Section 7 – Segmentation using Clustering Techniques & PCA
Section 8 – Black Box – Neural Networks & Deep learning
Reviews
There are no reviews yet.