Data Science Enthusiast | Machine Learning | Data Analytics

github

Umang Chaudhary  • Peerlist

Machine learning project hosted on Kaggle by IIT Madras in which I have applied statistical analysis and eda to perform data cleaning and preprocessing efficiently and then trained the various model on the data and achieved very good accuracy.

Taxi Fare guru price amount prediction

Data of all IPL matches from 2008 to 2022 and ball by ball is used in this project.Raw data was unstructured and required columns were not present in the raw data. Required data is derived from given 2 datasets and based on that Data preprocessing is done after that Logistic Regression machine learning model is being used to find prabability of winning of batting and bowling team. For deployment of this machine learning model streamlit library is used and model 'IPL win Predictor' is deployed at streamlit with the help of github repository.

- IPL Win Predictor

Data Science

Database Management System (DBMS)

Data Cleaning

Data Analytics

Microsoft Power BI

Machine Learning

Web Scraping

Data Engineering

Data Visualization