My solution to the Global Data Science Challenge
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Updated
May 6, 2020 - Jupyter Notebook
My solution to the Global Data Science Challenge
A complete overview and insights into AI-Text detection 🌱 using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated 🌻 or Human-authored 🚀
Kaggle Competition & Dataset notebooks 📙
This repository contains solutions of some kaggle competitions.
Repository containing codes made for different Kaggle's Competitions. Competitions in this repository: Digit Recognizer, Titanic and Kannada MNIST.
It's about my analysis on large and real life problem based data set available @Kaggle and applied machine learning and Deep learning techniques to build necessary model. Follow me on @Kaggle : https://www.kaggle.com/harshkothari21
Kaggle competitions are best way to jump into data science career and helps you to work with some real world problems by constant learning.
A collection of my Jupyter notebooks on various topics
Containing the data and codes for MSBD_5001_kaggle_competition
This repository contains the notebooks for Data Science Tutorials I created and Kaggle competitions I participated in.
Kaggle Competitions Participation Code
Tabular machine learning simplified!
Solutions to kaggle competition-Pneumothorax detection
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