Python

Logistic Regression is a classification algorithm. It is used to predict a binary outcome (1 / 0, Yes / No, True / False) given a set of independent variables. To represent binary / categorical outcome, we use dummy variables. In this post, I will explain the math behind the Logistic Regression Model and how to implement it using Python.

In this article, we will learn about the mathematical intuition behind simple linear regression and implement it in Python through a simple and easy-to-understand example with storytelling.

GridSearchCV is a function in scikit-learn for hyperparameter tuning. It is used to find the best parameters for a given model. In this blog post, we will discuss how to use GridSearchCV in scikit-learn and what are its advantages over other methods of hyperparameter tuning.

Introduction to Python. This tutorial will help you to get started with Python.

Learn about the basics of Python. This article also covers the basics of Python Variables and Data Types.

Building a plant diseases detection model using deep learning.

Create a Machine Learning API with FastAPI. This tutorial will help you to create a machine learning API with FastAPI.

The `timeit` module in Python is a built-in module that allows to measure time of code snnippets. It is very useful tool for comparing the performance of different approaches

In this article, we will learn everything about bit manipulation and how to solve problems efficiently using bit manipulation.

In this tutorial, you will learn about basic python programming with question and solution. This tutorial is for beginners.