-
Student
- India
-
01:30
(UTC +05:30) - https://www.scripet.com
- https://www.kaggle.com/ashx010
- in/yash-aggarwal-ashx010
Highlights
- Pro
Stars
Our project aims to develop a web-based interactive mapping application utilizing Leaflet, HTML, CSS, JavaScript, and PHP. The application will provide users with a seamless experience for explorin…
Night time car accident prevention using computer vision
Regression model on Taxi Fare Data with EDA. The data is taken from a Hackathon ( Data Science Student Championship 2023 ) on MachineHack.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Digit Recognizer using MNIST dataset with Deep Learning Model : CNN.
Regression model on House Price Data with EDA. Secured RMSE Score of ~0.13.
Classification model on Titanic: Tragic shipwreck with EDA. Secured Accuracy Score of ~0.78.
This is data analysis project. this is based on ipl data. ipl data analysis is more simply and easy to learn data analysis