Machine Learning and Data Science

Introduction to Machine Learning

Topics Covered

Level :

Beginner

Supervised learning, unsupervised learning, basic models

Course Summary

Understand core machine learning principles, work with basic models like regression and classification, and build a strong foundation for advanced topics.

Course Description

This course introduces foundational machine learning concepts and helps learners get started with model development, evaluation, and use in real-world scenarios.

Learning Modules

Module 1: Fundamentals of supervised and unsupervised learning.
Module 2: Building and evaluating basic models like linear regression and k-NN.
Module 3: Preparing datasets and workflows for future ML development.

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