obrunet/my_data_science_portfolio

An aggregation of all my Data Science challenges, studies, projects... from Kaggle / ENS Data Challenges / Zindi - various ML tasks : regression / classification / computer vision / N.L.P / recommendation engine

Here is a summary of all the Data Science projects i've done so far :

Those challenges come from:

• Kaggle
• ENS Data Challenges
• Zindi

I've achieved varisous tasks / used different types of ML models:

• regression / classification
• computer vision
• natural language processing
• recommendation engine

Title & notebook	Year	Source	Description & Goals
Fashion MNIST	2019	Kaggle	Classification task of 28x28 grayscale clothes' images with CNNs & MLPs in Tensorflow
Bike Sharing Demand	2019	Kaggle	Forecast rentals of a city bikeshare system with datetime, weather, rentals number infos (supervised ML regression)
House Prices	2019	Kaggle	Use case: predict sales prices (Supervised ML with feature engineering)
Dog or Cat	2019	?	Distinguish images of dogs from cats : binary classification / computer vision using CNN with Tensorflow
Adult Census Income	2019	Kaggle	Predict whether income exceeds $50K/yr based on census defining people profiles (supervised ML binary classification)
Credit Default Risk	2019	Kaggle	Prediction whether or not an applicant will be able to repay a loan based on previous credits, POS (point of sales), cash loans, repayment history...
Hybrid Recommendation Engine	2019	Kaggle	Recommandation System with LightFM (collaborative & content-based filtering) trained on the MovieLens 100K dataset
Customer Segmentation	2019	Kaggle	Segmentation : target customers with whom you can start marketing strategy (unsupervised ML - KMeans Clustering)
Fraud Detection	2019	Kaggle	Anomaly detection among anonymized credit card transactions labeled as fraudulent or genuine (PCA than oversampling on highly imbalanced classes (SMOTe))
Real Estate Price	2019	Kaggle	Prediction of house prices for California districts derived from a census (analysis of geospatial data)
Customer Churn	2019	Kaggle	Predict behavior to retain your customers before they live
Historical consumption regression for electricity supply pricing	2020	E.N.S	Predict the electricity consumption of 2 given sites during the next year using time series & deep learning models R.N.N / G.R.U.
Solar Power Generation in EU - Part 1 / 2 / 3	2020	Kaggle	Countries segmentation depending on their generation profile, power plant's efficiency prediction accross time with R.N.N & Prophet.
Cirta - Particle Type Classification - Part 1 & 2	2020	Zindi	Build a machine learning model to help physicists identify particles after a collision based on images.
Handwritten Digit Generation	2021	Kaggle	Unsupervised deep learning with G.A.N - training of a Generator and a Discriminator with the famous MNIST dataset
Wind Power Generation in EU - Part 1 / 2	2021	Kaggle	Countries segmentation depending on their generation profile, efficiency prediction analysis.
Fowl Escapades	2022	Zindi	Classification of numerious classes of birds callings. Audio data augmentation, preprocessing, spectrograms & deep learning with CNNs
Pima Indians Diabetes - Analysis & Predictions	2022	Kaggle	Analysis of patients observations, health measures and how to build a machine learning model to diagnostically predict whether or not a patient has diabetes
Treadmills users - Advanced data viz, recommendation)	2022	Kaggle	Interactive & dynamic charts with Plotly with advanced stats, recommendation & clustering of mix data types with K-prototypes
Prediction of building's greenhouse gas emissions (GHG) - part 1 - EDA & 2 - Modelling	2023	Kaggle	Geospatial analysis - regression & explainability
H&M Recommendation System for Personalized Fashion - part 1 - EDA & 2 - Modelling	2023	Kaggle	Analysis of datasets with RecoSys specific caracteristics, and fine tuning of an hybrid lightfm model