Our aim is to deliver a whole training environment for you to become a top class Analyser.
Machine Learning Training Content
BASIC MACHINE LEARNING AND DATA SCIENCE FOR BUSINESS APPLICATIONS
Introduction to Machine Learning
- > Types of Learning algorithms
- > Concepts of test-train splits
- > Examples of learning algorithms
Mathematics in Python
- > Google Colaboratory
- > Numpy
- > Scipy
- > Matplotlib
Linear Regression in Python
- > Mathematical explanation
- > Implementation
KNN Classification in Python
- > Mathematical explanation
- > Implementation
Statistical Analysis of Data
- > Sampling
- > Generalizations and Inference parameters
- > Normal and Binomial distributions
Statistical Analysis of Data
- > The Hypothesis Framework
- > Correlation
- > Linear Regression and its interpretations
- > Multiple Linear Regression and its interpretations
- > Polynomial Regressions and its intepretations
Case Study - Pima Indian Females Dataset for Diabetes
- > (Statistical Treatment of the data)
Case Study - Pima Indian Females Dataset for Diabetes
- > (Machine Learning using Logistic Regression and KNN Classifier)
Random Forests and Decision Trees
- > Concept of information gain and entropy
- > Implementation