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

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

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 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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