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

A collection of Kaggle solutions.

Cleaning data and building a classification algorithm for Kaggle's Spaceship Titanic competition. (Accuracy = 80.5)

The notebooks I built on Kaggle problems

My Kaggle Projects

Collection of my competition notebooks on Kaggle

Classification of event data video

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.

This is a notebook for fraud detection for a kaggle challenge.

A Qlik solution for the COVID-19 Open Research Dataset Challenge (CORD-19)

Kaggle Challenge

Kaggle's Tweet Sentiment Extraction challenge. Model had to extract phrases out of a tweet which maximise a given sentiment.

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.

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.