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 🚀
Containing the data and codes for MSBD_5001_kaggle_competition
Kaggle Competitions Participation Code
Solutions to kaggle competition-Pneumothorax detection
A collection of my Jupyter notebooks on various topics
Tabular machine learning simplified!
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.
This repository contains the notebooks for Data Science Tutorials I created and Kaggle competitions I participated in.
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.
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