Ekta Aggarwal
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 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.