🗂️ Portfolio-Guide

Welcome to my data portfolio! Here, I document a summary of my projects in the data field.

📚 Table of Contents

Machine Learning and Deep Learning

Project Link Tools Algorithms Project Description
📄 Citation Link Prediction Python, Jypyter Notebook, Gensim, NteworkX Graph Neural Network The goal of this project is to apply machine learning/artificial intelligence techniques to the link prediction problem of whether a research paper cites another research paper. The citation network consists of several thousands of research papers, along with their abstracts and their lists of authors. The dataset was taken from machine learning, artificial intelligence, data mining, and natural language processing conferences and journals. The project aims to use edge information to learn the parameters of a classifier and then to use the classifier to predict whether two nodes are linked by an edge or not. Here is the detailed presentation of the project
💰 Credit Default Prediction Python, Jypyter Notebook Decision Trees Algorithms In this machine learning project I aim to predict whether a customer will default on a loan within 60 days of disbursement. The project uses historical customer financial data to train and evaluate several machine learning models and select the best-performing one for deployment. Here is the detailed presentation of the project
🚗 Automatic Carbon Footprint calculator Python Trees algorithms, Time series, CV, NLP This repo contains several use cases for automatic calculation of carbon footprint. Here is a detailed presentation of the project. (Ongoing project)

Popular Algorithms From Scratch

Project Link Tools Algorithms Project Description
🤖 Popular Algorithms From Sctrach Python, Numpy, Jypyter Notebook Linear regression, Logistic regression, KNN, Decision tree, Deep Learning, Deep neural Network, Convolutional Neural Network, Sequence Models, Transformers The goal of this project is to code from scratch popular machine learning and deep learning algorithms in order to really understand how they work under the hood. (Ongoing project)

ML experiements

Quick ML experiements on various subjects.

Project Link Tools Project Description
⛓️‍💥 Drift detection Alibi Detect, Evidently Explore and compare open source libraries.
Implement a simple drift detection algorithm from scratch in Python.