Machine Learning- From Basics to Advanced

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)

What you'll learn

1. Learn how to use NumPy, to do fast mathematical calculations in machine learning. etc

Requirements

• Basic knowledge of scripting and programming

Description

If you are looking to start your career in Machine learning then this is the course for you. This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels. This course has 5 parts as given below: Introduction & Data Wrangling in machine learning Linear Models, Trees & Preprocessing in machine learning Model Evaluation, Feature Selection & Pipelining in machine learning Bayes, Nearest Neighbors & Clustering in machine learning SVM, Anomalies, Imbalanced Classes, Ensemble Methods in machine learning For the code explained in each lecture, you can find a GitHub link in the resources section.
Author(s): EdYoda Digital University

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