My Docker scripts and Dockerfile for several frameworks.

FSM (Finite State Machine) + Task Manager Library for STM32

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

2018년 12월 15일 AIBootCamp 친절한 Azure ML Studio HOL입니다 :)

Tic tac toe game intelligence agent using reinforcement learning

Localizing Memorized Sequences in Language Models

Predict stock prices with an intuitive web app. Easy-to-use interface, accurate predictions.

This is the initial build for web-based face detector application.

Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀

AI-based cybersecurity system that analyzes network data to detect anomalies and potential threats in real time. Uses ML models for identifying suspicious patterns and ensuring basic system security as per the problem statement.

Set of Notebooks acting as a template for implementing SOTA models in Pytorch.

ML-Guided Compiler Flag Recommender (AutoFlag Finder)

A toy example for deep learning in C.

Naive Bayes Algorithm Module for python. https://pypi.org/project/naivepy/

Phising Detect Python / Random Forest Model / Python

This GitHub repo analyzes online retail data, cleansing and conducting cohort analysis. Explore insights through data visualizations

A Swift-based calculator for the digits of Pi (π), currently hardlimited to a maximum of 10,000 — although this can be easily changed in the storyboard slider limits. This demo uses a Machin-based Pi calculation, except that it uses the Integer package's infinite-sized integers to get as many digits as we want. It still computes the formula: pi …

Graph Convolutional Networks on Cartesian products of constant curvature manifolds.

News summarisation (Supervised and Unsupervised) with source from The Hindu. Worked majorly on machine learning (ML) and natural language processing (NLP).

Used a machine learning model that can predict fare price of flight based on various features & Created a web Interface using HTML, CSS & Flask to use the model.