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Hi there! 👋

I'm Gebeyaw Tigabu, a machine learning enthusiast with a passion for building intelligent systems. I specialize in computer vision, data science, and Python development.

⚡ Skills

Machine Learning

Deep Learning

Computer Vision

Data Science

Python

TensorFlow

Keras

PyTorch

Scikit-Learn

💻 Projects

Facial Expression Recognition: A deep learning model that predicts facial expressions in real-time using OpenCV and Keras.

Object Detection: A computer vision project that uses the YOLO algorithm to detect objects in images and video.

Sentiment Analysis: A natural language processing project that uses machine learning to analyze and classify text data.

📚 Interests

Machine Learning

Computer Vision

Data Science

Natural Language Processing

Robotics

📫 Get in touch

LinkedIn: https://www.linkedin.com/in/gebeyawtigabu/

🏆 Badges

Thanks for checking out my GitHub profile! Let's connect and build something amazing together! 😄

Gebeyaw Tigabu's Projects

30-days-of-html icon 30-days-of-html

A step by step guide to learn the concept of HTML, DOM tree, and web development in 30 days.

30-days-of-javascript icon 30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

90daysofdevops icon 90daysofdevops

This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-javascript icon awesome-javascript

🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bulletproof-react icon bulletproof-react

🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.

car-plate-detection icon car-plate-detection

This repository contains a Python script for detecting car number plates in images captured from a camera feed and extracting the text from the detected number plates using Optical Character Recognition (OCR) techniques.

chat-with-github-repo icon chat-with-github-repo

This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.

cleanvision icon cleanvision

Automatically find issues in image datasets and practice data-centric computer vision.

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

computer_vision icon computer_vision

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

css-protips icon css-protips

⚡️ A collection of tips to help take your CSS skills pro 🦾

customer-retention-analytics-coffee-house-data-analysis icon customer-retention-analytics-coffee-house-data-analysis

The GitHub repo contains data preprocessing and EDA for a project conducted for Coffee House. The analysis aimed to identify factors contributing to the decline in customer retention rates and revenue. The repo includes actionable insights for improving retention and revenue, such as targeted marketing strategies and loyalty programs.

darts icon darts

A python library for user-friendly forecasting and anomaly detection on time series.

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