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Nov 16, 2020

Decision Trees and Random Forest with Python

By Datasciencelovers inMachine Learning Tag Bank landing analysis, Decision Trees with python, Machine Leaning Projects, Random Forest with Python

A company called landingClub.com, wants to provide loan to customers. They want to classify and predict whether or not the borrower paid back their loan in full.

We will use lending data from 2007-2010 and be trying to predict the same.

Please go through below python codes to understand the algorithm in details.

Machine Learning Topics

  • Data Science – An Introduction
  • Machine Learning – Introduction
  • Types of Machine Learning
  • Python Library for Machine learning
  • Principal component Analysis(PCA)-Theory
  • PCA with python
  • Classification VS Regression
  • Linear Regression-Theory
  • Linear regression with python
  • Linear Regression Interview Questions and Answers
  • Logistic Regression-Theory
  • Logistic Regression Project – Python
  • Decision Tree – Theory
  • Random Forest-Theory
  • Decision Trees and Random Forest with Python
  • Bagging & Boosting – Theory
  • Clustering-Theory
  • K-Nearest Neighbors (KNN) – Theory
  • Naïve Bayes Classifier-Theory
  • Support Vector machine-Theory
  • NLP – Natural Language Processing
  • Machine Leaning interview questions and answers
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