Optimize revenues through pricing algorithm in python - Demand with uniform distribution
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Updated
Oct 1, 2020 - Jupyter Notebook
Optimize revenues through pricing algorithm in python - Demand with uniform distribution
A collection of Kaggle solutions.
Open solution to the Cdiscount’s Image Classification Challenge
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
Paper in Science and Technology for the Built Environment about the GEPIII Competition
Cleaning data and building a classification algorithm for Kaggle's Spaceship Titanic competition. (Accuracy = 80.5)
The notebooks I built on Kaggle problems
Classification of event data video
1st-place-solution of SPR Screening Mammography Recall
My Kaggle Projects
Collection of my competition notebooks on Kaggle
Discover how to harness the capabilities of the Meta (Facebook) Prophet model to accurately predict temperature fluctuations using data collected from IoT sensors.
Kaggle Gold Medal Solution. ICR - Identifying Age-Related Conditions.
Multi-label classifier that can classify an email into eight classes based on the metadata extracted from the email.
Kaggle Challenge
Kaggle's Tweet Sentiment Extraction challenge. Model had to extract phrases out of a tweet which maximise a given sentiment.
Image Classification for Grey Natural Scene Images
Car number plate detection is a technology-driven solution that involves the automatic identification and recognition of vehicle number plates using image processing and computer vision techniques.
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