A collection of Kaggle solutions.

Optimize revenues through pricing algorithm in python - Demand with uniform distribution

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

Discover how to harness the capabilities of the Meta (Facebook) Prophet model to accurately predict temperature fluctuations using data collected from IoT sensors.

Collection of my competition notebooks on Kaggle

Kaggle Gold Medal Solution. ICR - Identifying Age-Related Conditions.

A data analysis project to classify whether an applicant is capable of paying a home loan by using 4 machine learning models (Logistic Regression, SVM, Random Forest and LGBM) and 1 deep learning model (DeepFM). We also drew some insights from the best model that can be useful for analysts in bank.

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.