October 2020

Seaborn In today’s world, there is a large amount of data is present in structured and unstructured form and to

Dimensionality Reduction Introduction Being a Data scientist or enthusiast we will be working with a huge dataset with more than

Deep Learning  & Neural Networks In this tutorial , you will learn what Deep Learning and Neural Networks are and

Overfitting: When a statistical model fits more data than its need, it starts catching noise data & inaccurate values in

Use of Hyperparameters in Machine Learning. Now let’s explore this in detail. Hyperparameters are often used in the Cross-Validation part

Introduction to Logistic Regression : Logistic Regression is a supervised learning method mainly used for classification. It is used when

Ridge Regression First, we need to understand what bias and variance is? Bias : Bias is the simplifying assumption made

What is Random Forest : By the name of Random Forest, we think it is just a group of random