More articles in Machine Learning

Time Series Forecasting using Facebook Prophet library in Python

Facebook's prophet is a widely used library for time series forecasting in python. Let's see how to use it practically in this article

The Mathematics Behind Support Vector Machine Algorithm (SVM)

In this article, we will learn about the mathematics behind the SVM classifier, how it classifies the classes, and gives predictions.

Perform Regression Analysis with PyTorch Seamlessly!

In this article we are going to understand how to do perform linear regression using PyTorch in Python.

Examining the Simple Linear Regression method for forecasting stock prices using Excel

Linear Regression is one of the simplest ways to make predictions. In this article, we are forecasting stock prices of Infosys in Excel.

8 Things you Absolutely Should Know Before Starting your Data Science Career

Data Science will be the most exciting career in the next decade. Here are 8 things you must know to build a data science career in 2020

Step by Step Guide for Deploying a Django Application using Heroku for Free

In this article we are going to explore in detail the steps to deploying a Django application using Heroku in Python for free.

Modernize Support Logs Using Simple Python Commands

This blog explains how using simple machine learning concepts we can enrich our call centers/support logs activities in our own organization

Ultimate Beginner’s Guide to Win Classification Hackathons with a Data Science Use Case

Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning

Enhance your Data Science skills with ML evaluation metrics. From rand index to calinski-harabasz Index and mutual info for accuracy.

How to Choose Evaluation Metrics for Classification Models

In this article, let us deep dive into the most common evaluation metrics for classification models that all data scientists should know