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
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.
A collection of my Kaggle notebooks, featuring end-to-end dataset analyses, competition solutions, and course projects across Data Science, Machine Learning, and AI.
Paper in Science and Technology for the Built Environment about the GEPIII Competition
Kaggle portfolio featuring Kaggle competition solutions, 17+ Kaggle course certificates, 40+ Kaggle badges, and machine learning notebooks covering EDA, feature engineering, model training, and evaluation, with more competitions and learning resources added over time.
Cleaning data and building a classification algorithm for Kaggle's Spaceship Titanic competition. (Accuracy = 80.5)
1st-place-solution of SPR Screening Mammography Recall
The notebooks I built on Kaggle problems
A multi-agent web app that helps people practice and improve real social interactions in a safe space. You describe a situation, get concrete advice grounded in a structured social-skills curriculum, rehearse it in a role-play, and receive a structured reflection — a full coaching loop, on demand.
My Kaggle Projects
Classification of event data video
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.
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.
Kaggle Gold Medal Solution. ICR - Identifying Age-Related Conditions.
Kaggle's Tweet Sentiment Extraction challenge. Model had to extract phrases out of a tweet which maximise a given sentiment.
Kaggle Challenge
List of personal Kaggle contributions.
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