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, 2022
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, 2022
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, 2022
Logistic Regression in Python
In this tutorial we would be understanding how to implement Logistic Regression algorithm in Python.
Ekta Aggarwal
Aug 24, 2022
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, 2022
Hierarchical Clustering
In this tutorial we would explain Hierarchical Clustering - one of the popular unsupervised learning clustering methods.
Ekta Aggarwal
Aug 17, 2022
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, 2022
Decision Trees in Python
In this tutorial we would be understanding how to implement Decision Trees algorithm in Python.
Ekta Aggarwal
Aug 11, 2022
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, 2022
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, 2022
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, 2022
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, 2022
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, 2022
Random Forests in Python
In this tutorial we would be understanding how to implement Random Forests algorithm in Python.
Ekta Aggarwal
Aug 4, 2022
Random Forests Explained
This tutorial covers easiest explanation for Random forests - a bagging algorithm.
Ekta Aggarwal
Jul 25, 2022
Bagging and Boosting
This post explains the concepts of bagging and boosting in details.
Ekta Aggarwal
Jul 25, 2022
K-Nearest Neighbours in Python
A detailed tutorial of how to run KNN using Python
Ekta Aggarwal
Mar 7, 2022
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, 2022
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, 2022
K-fold cross validation explanation made easy!
An easy explanation of K-fold cross validation, with examples
Ekta Aggarwal
Mar 4, 2022
What are training and test sets?
Explaining training and test sets in detail.
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