MACHINE LEARNING

Course Description

Machine Learning is a branch of Artificial Intelligence that empowers systems to learn from data without explicit programming. In this course, you’ll explore the theory and practical application of ML algorithms. You’ll learn how to work with data, train models, and implement ML techniques to solve complex problems. This course is ideal for anyone who wants to dive deep into ML and build real-world solutions using data.

Course Content Highlight:
Introduction to Machine Learning
Supervised Learning: Regression & Classification
Unsupervised Learning: Clustering & Association
Feature Engineering
Model Evaluation & Validation
Decision Trees, Random Forests, and SVMs
Neural Networks and Deep Learning Basics
Hyperparameter Tuning
Real-World ML Applications (e.g., Recommender Systems, Predictive Analytics)
Deployment of ML Models

Training Mode:
Online

Training Tool:
Google Meet

Duration:
70 Hours

Deliverables:
Mentored Sessions
Recorded Sessions
Daily Exercises
Mini Projects
Capstone Project