### RANDOM FOREST FROM SCRATCH PYTHON

As the name suggests, the Random forest is a “forest” of trees! i.e Decision Trees. A random forest is a tree-based machine learning algorithm that randomly selects specific features to build multiple decision trees. The random forest then combines the output of individual decision trees to generate the final output. Now, let’s start our today’s topic on random forest from scratch.

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### DECISION TREE FROM SCRATCH

Welcome to a new tutorial on Decision Tree from scratch. In the Machine Learning from Scratch series, it’s our fourth algorithm where we have covered all mathematical concepts and a project from scratch with detailed explanation.

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### NAIVE BAYES ALGORITHM FROM SCRATCH

LOGISTIC REGRESSION Decision Tree In our previous Machine Learning From Scratch series, we have covered Linear Regression and Logistic Regression. Today, we will be covering all details about Naive Bayes …

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### LOGISTIC REGRESSION FROM SCRATCH

LINEAR REGRESSION Naive Bayes Welcome to the new machine learning from scratch tutorial. In today’s tutorial, we are going to cover Logistic Regression from scratch. First of all, we would …

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### LINEAR REGRESSION FROM SCRATCH

We will build a linear regression model to predict the salary of a person on the basis of years of experience from scratch. You can download the dataset from the link given below. Let’s start with importing required libraries:

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### KEY TERMS USED IN MACHINE LEARNING

BEGINNERS GUIDE AI VS ML Before starting tutorials on machine learning, we came with an idea of providing a brief definition of key terms used in Machine Learning. These key …

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