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Essentials of Machine Learning Algorithms (with Python and R Codes)

This article on Machine Learning Algorithms was posted by Sunil Ray from Analytics Vidhya. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry.

Sunil has created this guide to simplify the journey of aspiring data scientists and machine learning enthusiasts across the world. Through this guide, he will enable you to work on machine learning problems and gain from experience. He is providing a high level understanding about various machine learning algorithms along with R & Python codes to run them.

What you can find in this article :

1  Introduction

2  Who can benefit the most from this guide?

3  Broadly, there are 3 types of Machine Learning Algorithms

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

4  List of Common Machine Learning Algorithms

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • SVM (Support Vector Machine)
  • Naive Bayes
  • KNN (K- Nearest Neighbors)
  • K-Means
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boosting & AdaBoost

You can find the full article here. For other articles about Machine Learning Algorithms, click here

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