Encoding Categorical Variables in Python

In this tutorial we will learn how to encode or convert categorical variables in numbers. Categorical variables are generally of 2 types:...

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Ekta Aggarwal

- Aug 27

Encoding Categorical Variables in Python

In this tutorial we will learn how to encode or convert categorical variables in numbers. Categorical variables are generally of 2 types:...

Ekta Aggarwal

- Aug 26

Standardisation and Normalisation in Python

In this tutorial we will understand the concepts of standardisation and normalisation and will learn how to implement them in Python

Ekta Aggarwal

- Aug 25

Creating training and Test sets in Python

In this tutorial we will be covering about the concepts and logic of training and test sets.

Ekta Aggarwal

- Aug 25

Logistic Regression in Python

In this tutorial we would be understanding how to implement Logistic Regression algorithm in Python.

Ekta Aggarwal

- Aug 24

Logistic Regression

Logistic Regression is used for classification problems which is used to predict the dependent variable which is categorical in nature....

Ekta Aggarwal

- Aug 18

Hierarchical Clustering

In this tutorial we would explain Hierarchical Clustering - one of the popular unsupervised learning clustering methods.

Ekta Aggarwal

- Aug 17

Hierarchical Clustering in Python

In this tutorial we would learning how to implement Hierarchical Clustering in Python along with learning how to form business insights..

Ekta Aggarwal

- Aug 17

Decision Trees in Python

In this tutorial we would be understanding how to implement Decision Trees algorithm in Python.

Ekta Aggarwal

- Aug 11

Performance Metrics for Classification Problems

In this tutorial we will understand in detail various performance metrics which can be used to evaluate the performance of a model.

Ekta Aggarwal

- Aug 11

K Means Clustering in Python

In this tutorial we would learning how to implement K - Means Clustering in Python along with learning how to form business insights.

Ekta Aggarwal

- Aug 9

K-Means Clustering

K-Means clustering is an unsupervised learning algorithm, which is used for clustering. This tutorial discusses its in-depth explanation.

Ekta Aggarwal

- Aug 8

Grid Search in Python

Grid Search is used to find the best parameters for a model. In this tutorial we will understand how to implement Grid Search in Python

Ekta Aggarwal

- Aug 8

Grid Search Explained

This article provides detailed explanation of Grid Search, which is widely used for finding the best parameters in a model.

Ekta Aggarwal

- Aug 5

Random Forests in Python

In this tutorial we would be understanding how to implement Random Forests algorithm in Python.

Ekta Aggarwal

- Aug 4

Random Forests Explained

This tutorial covers easiest explanation for Random forests - a bagging algorithm.

Ekta Aggarwal

- Jul 25

Bagging and Boosting

This post explains the concepts of bagging and boosting in details.

Ekta Aggarwal

- Jul 25

K-Nearest Neighbours in Python

A detailed tutorial of how to run KNN using Python

Ekta Aggarwal

- Mar 7

Working of Decision Trees

To understand what is a decision tree let us consider an example: Suppose a bank wants to decide, whether they want to give loan to a...

Ekta Aggarwal

- Mar 4

K - Nearest Neighbours

K-Nearest Neighbours is a simple algorithm, where the prediction for a new instance
is the plurality class among its k closest neighbours.

Ekta Aggarwal

- Mar 4

K-fold cross validation explanation made easy!

An easy explanation of K-fold cross validation, with examples

Ekta Aggarwal

- Mar 4

What are training and test sets?

Explaining training and test sets in detail.