Machine Learning Prediction Series 1- House Price Prediction with Simple Linear Regression

Fatma Elik
Analytics Vidhya
Published in
7 min readFeb 15, 2021

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A guide for machine learning enthusiasts, people looking for applications from real-life datasets

Photo by Wes Hicks on Unsplash

Hello Machine Learning lovers! I will start The Machine Learning series with this article and I will firstly explain the prediction algorithms then the classification algorithms. In this series, I will explain the statistical infrastructure of Machine Learning, the interpretation of graphs and datasets, and I will make applications with up-to-date datas using Python.

Our Machine Learning Algorithms for prediction would be:

  • Linear Regression
  • Polynomial Regression
  • Support Vector Machines
  • Desicion Trees
  • Random Forest

Let’s go!

How Can Machines Learn?

Alan Turing’s Phd Thesis -Systems of Logic | credit: Princeton Press

Dear Alan Turing must be one the earliest people to ask this question on an academic platform. Actually, he was sort of right, machines can be taught nowadays however they can not think like a human.

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