[100% OFF] Step by Step Guide to Machine Learning


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:
  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

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