A Fine Windy Day: HackerEarth Machine Learning challenge

You are appointed by an environmentalist for their Non Government Organization as a climate warrior who comes to the rescue. Your task is to build a sophisticated Machine Learning model that predicts the power that is generated (in KW/h) based on the various features provided in the dataset.

Taxi_Data_Engineering_Project

The project aims to analyze Uber data by utilizing a range of tools and technologies such as GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio. This project utilizes various technologies, including Python as the programming language and Google Cloud Platf

ML End to End Project Deployed

The goal of the student match score prediction ML project is to develop a model that can predict the match score between a student and a specific educational program or institution. The match score represents the likelihood or compatibility of a student's profile with the program or institution base

Testing MLflow with Dagshub on Wine Quality Data

The goal of this project is to demonstrate the integration of MLflow, DVC (Data Version Control), and Dagshub to manage and track machine learning experiments using the Wine Quality dataset. MLflow will be used to track and visualize experiments, DVC will handle data versioning and pipeline.