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From Analytics Vidhya:

“Through this learning path, we hope to provide you an answer to this problem. We have deliberately loaded this learning path with a lot of practical projects. You can not master machine learning with the hard work! But once you do, you are one of the highly sought after people around.

Since this is a complex topic, we recommend you to strictly follow the steps in sequential order. Consider this as your mentor for machine learning. Only skip a step, if you know the subject matter mentioned in that step already.”

This curriculum consists of the following steps:

  • Warming up – how is machine learning useful?
  • Step 0: Basics of R / Python
  • Step 1: Learn Basic Descriptive and Inferential Statistics
  • Step 2: Data Exploration / Cleaning / Preparation
  • Step 3: Introduction to Machine Learning
  • Step 4: Participate in Kaggle Knowledge Competition
  • Step 5: Advanced Machine Learning
  • Step 6: Participate in Mainstream Kaggle Competition

Recommended Prerequisites: none specified

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