Author name: Dr. Shripad Bhat

In this post, let us explore: Random Forest When to use Advantages Disadvantages Hyperparameters Examples Random Forest Forest is a […]

Time Series – Basic concepts In this post, let us explore the basic concepts about time series. We will also

In this post, let us explore: What is the difference between Feature Selection, Feature Extraction, Feature Engineering and Feature Learning

In this post, let us explore: Ensemble Models Bagging Boosting Stacking Ensemble Models/Methods/Learning Ensembling is clubbing predictions from different models

Importing data into Python In this post, we will learn: How to import data into python How to import time

In this post, we will understand how to perform Feature Selection using sklearn. Dropping features which have low variance Dropping

Logistic regression is a supervised learning technique applied to classification problems. In this post, let us explore: Logistic Regression model

Suppose there are two independent variables (features): x1 and x2. And there are two classes Class A and Class B.

Understanding Naive Bayes using simple examples Thomas Bayes was an English statistician. As Stigler states, Thomas Bayes was born in

Decision Tree models are simple and easy to interpret. In this post, let us explore What are decision trees When

Heatmap depicts the two-dimensional data (matrix form) in the form of graph. Data requirement: Data can be in the form

Importing data into Python In this post, we will learn: How to import data into python How to import time