Step by Step Guide to Machine Learning [Free Online Course] - TechCracked

Step by Step Guide to Machine Learning

A beginners guide to learn Machine Learning from scratch. Learn various algorithms and techniques using ML libraries.

What you'll learn
  • Learn how to use NumPy to do fast mathematical calculations
  • Learn what is Machine Learning and Data Wrangling
  • Learn how to use scikit-learn for data-preprocessing
  • Learn different model selection and feature selections techniques
  • Learn about cluster analysis and anomaly detection
  • Learn about SVMs for classification, regression and outliers detection.

This course includes:
  • 7 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion


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 to Machine Learning & Data Wrangling
  • Linear Models, Trees & Preprocessing
  • Model Evaluation, Feature Selection & Pipelining
  • Bayes, Nearest Neighbours & Clustering
  • SVM, Anomalies, Imbalanced Classes, Ensemble Methods

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

Also See : Machine Learning A-Z™: Hands-On Python & R In Data Science

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