Project I: Adult Census Income Prediction

There are different type of people with different race, sex, country, marrital status etc having different workclass and occupation it become necessary to know in which salary class a person falls. The Goal is to predict whether a person has an income of more than 50K a year or not. This is basically a binary classification problem where a person is classified into the >50K group or <=50K group. I have created a complete blog to solve this machine learning problem.

August 10, 2021

Project II: Predict The Price Of Books

There are many among us who prefer to spend more time with books than anything else. Here we explore a big database of books. Books of different genres, from thousands of authors. In this project, we will use the dataset to build a Machine Learning model to predict the price of books based on a given set of features. Size of training set: 6237 records Size of test set: 1560 records

November 12, 2021

Project III: Image classification of Cats and Dogs

In this project, we have written an algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. Your computer will find it a bit more difficult.