/Machine-Learning

Implementation of Machine Learning Algorithms with Different Dataset

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Machine-Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Things to learn:

  • What is Machine Learning ?
  • What is Dataset ?
  • What is Supervised and Unsupervised Learning ?
  • What is Classification and Regression ?
  • What is Clustering ?
  • What is Bias and Variance ?
  • What is Underfit and Overfit ?
  • What is Feature Scaling ?
  • What is Dimensionality Reduction ?
  • Different types of Machine Learning Algorithms ?
  • Linear regression
  • Decision Tree
  • Spam Mail Classification Using Google's Gmail API and Machine Learning