California Housing Price Prediction

The Californian housing dataset from has been used to predict the price based on numerous features like "number of bedrooms", "proximity to ocean", "median income" etc and the Machine learning model is developed after pre-processing the raw data using custom transformer function.

Spam - Ham Email Classifier

The main objective of the project is to train the classifier algorithm using word count vector of emails and predict whether the email is spam or not. This project is really important entails all the core concepts of natural language processing like 'email to text' and 'text to vector'.

World Life Expectations

This project is built to put SQL skills in use - data cleaning like handling missing values from each specific columns for e.g. removing the blanks and replacing it with standard values like Average - performing Exploratory data analysis e.g. to find the correlation between BMI & Life expectation

US household income

-performed data cleaning like removing the blanks and replacing it with more sensible values -performed EDA to understand the income for different categorical fields like state, county, city, Type