Posts from Machine Learning
Dummy Variable Trap and its solution in Python
Here, we discuss a dummy variable trap and its solution. But first, we discuss dummy variables. What is the dummy variable? In the regression model, there are various types of data.... Read More
Explain R Squared used In Machine Learning in Python
In simple words, R Square is a statistical formula. Here we get more details. What is R square? R2 is just a square of R. R is a correlation that is numbered between +1 and -1. I.... Read More
Human Activity Recognition using Smartphone Dataset- ML Python
Hey ML Enthusiasts, In this article, we are going to create a Human Activity Recognition Model using Machine Learning in Python. Before Proceeding further in the article, you are a.... Read More
Chatbot Using Deep Learning in Python
In this tutorial program, we will learn about building a Chatbot using deep learning, the language used is Python. So here I am going to discuss what are the basic steps of this deep learning problem and how to approach it. For this Chatbot, we are going to use Natural Language Processing(NLP). Natural Language Processing: […] Read More
Movie Recommendation System using Machine Learning in Python
In this tutorial program, we will learn about building movie recommendation systems using Machine Learning in Python. So here I am going to discuss what are the basic steps of th.... Read More
Analyse UBER Data in Python Using Machine Learning
Looking at Data find that the data is increasing day by day and approx 2.5 quintillion bytes of data generate every day. Now, from this data analysis and get useful information whi.... Read More
Forward Elimination in Machine Learning – Python
In this tutorial, we are going to learn the forward elimination method or forward stepwise selection method in machine learning in Python. firstly we will see what is it and next w.... Read More
Machine Learning Model to predict Bitcoin Price in Python
Today we’ll make a Machine Learning Model which will predict Bitcoin price in Python. This can be done in several numbers of ways. For example, we can use Linear regression, .... Read More