A New, Interactive Approach to Learning Python

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media plat…

Algerian Forest Fire Prediction

This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction by tuning model hyperparameters and addressing class imbalance through over and under sampling data. Final model is productionized using a data pipeline

The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link

Implement a Hand Gesture Recognition System. Given an image containing a single hand, the system is supposed to classify the hand gesture into one of six digits (from 0 to 5). The system handles different lighting effects and different hand poses as much as possible. It is implemented in a complete machine learning pipeline.

Predict Prices for Indian Flights

Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.

Goal is to predict the concrete compressive strength using collected data

Improving a Machine Learning Model

A comprehensive analysis and predictive modeling of the "Salary Data.csv" dataset to forecast salaries. Utilizes advanced machine learning techniques, including pipelines and transformers, for robust and accurate predictions.

Regression - Bulldozer Sales Price - Kaggle Competition

Telecom Churn prediction with multiple machine learning models

factors affecting the sales of the walmart store

Predicting the Sale Price of Bulldozers using Machine Learning

Flight Price Prediction Model Deployment IN Heroku