Udemy Machine Learning Basics to Advanced

What you'll learn
Machine Learning Concepts in Detail
Linear Regression
Supervised Learning
Unsupervised Learning
Clustering
Classification
Neural Networks
Naive Bayes Classifiers
Course content
7 sections * 32 lectures * 7h 18m total length
Requirements
Good Knowledge of Linear Algebra, Functions and Probability is recommended but not compulsory.
Description
Machine Learning is the most demanding skill in not only IT companies but also in Medical and other fields too.
Understanding basics are very important to build this skill. This course will help you build your concepts with easy to follow up tutorials.
I will keep updating this course by introducing more and more content and projects too!!
Future Upload Plans
Unsupervised Learning (ADDED)
Neural Networks (ADDED)
Naive Bayes Classifiers (ADDED)
Face Detection in Python Project
Twitter Sentiment Analysis Project
Who this course is for
Students who want to establish career in Machine Learning and Data Science