AI & ML Training
Syllabus
- Session 1:
Getting started with python programming
Installing Anaconda
Python variables, lists, tuples and dictionaries
Control Structure in Python
Defining Functions in Python - Session 2:
Using modules and packages
Numpy for Data computation
Matlplotlib for Data Visualization
Pandas for data exploration
Using scikit-learn - Session 3:
Creating linear regression models using scikit-learn
Introduction to Artificial Intelligence
Applications of AI & Current trends
Emotional Intelligence with machine Learning
Introduction and Applications of Machine Learning - Session 4:
Supervised and Unsupervised Learning
Classification & Regression Problem
Clustering, Anomaly Detection
Getting started with Linear Regression
Mathematics behind Linear Regression - Session 5:
Building Linear Model
Python
Simple and Multiple linear Regression
Decision Tree
Random Forest
Natural Language Processing