Step by Step Guide to Machine Learning

Step by Step Guide to Machine Learning

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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:

  1. Introduction to Machine Learning & Data Wrangling

  2. Linear Models, Trees & Preprocessing

  3. Model Evaluation, Feature Selection & Pipelining

  4. Bayes, Nearest Neighbours & Clustering

  5. SVM, Anomalies, Imbalanced Classes, Ensemble Methods

For the code explained in each lecture, you can find a GitHub link in the resources section.

Instructors: EdYoda Digital University

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