Codes for cdiscount image classification, a Kaggle competition to categorize seven million commodities into up to five thousand classes.
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Updated
Jun 17, 2018 - Python
Codes for cdiscount image classification, a Kaggle competition to categorize seven million commodities into up to five thousand classes.
Classification of Titanic Dataset using a feed-forward neural net with TensorFlow
Attempt to write a convolutional neural network in tensorflow to detect fish types (past kaggle competition)
Kaggle Plant Sedding Classification
Notify new kaggle competition to Slack or LINE without coding
The implemented models of the competitions on Kaggle.
Top 3% accuracy in Kaggle. Predicting the survival rate of passengers in titanic using Machine Learning. Random Forest came out to be superior.
Kaggle competition : TMBD-Box-Office-prediction
This project was developed for the Natural Language Processing with Disaster Tweets Kaggle competition
Kaggle Competition - Large-scale Deep Neural Network regressor for predicting trip duration of Uber rides
A machine learning model that predicts who survived the Titan disaster
Titanic Survivor Kaggle competition using Decision Tree model
Our submission for 2nd place to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
My try on Helping Santa's Helpers competition
Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats
Kaggle SIIM-ACR Pneumothorax Segmentation Challenge (top 3%)
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