Explore the fundamentals of Python for machine learning in this comprehensive tutorial designed for beginners. Learn about essential libraries such as NumPy for numerical computation, Pandas for data manipulation, and Seaborn for data visualization. Discover the different types of machine learning, including supervised and unsupervised learning, and gain practical experience with regression and K-Nearest Neighbors (KNN) examples using Google Colab. Acquire valuable skills for implementing machine learning tasks and receive guidance on career advancement in the field of data science and artificial intelligence.
Python for Machine Learning - Machine Learning Tutorial for Beginners
Overview
Syllabus
Introduction
Agenda
Why Python
Skills for Machine Learning
What is Machine Learning
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Python for Machine Learning
What we will learn
What is regression
Google Collab
KNN Example
Advice
Great Learning Academy
Machine Learning Post Graduation Program
Taught by
Great Learning
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