chibbss,Emmanuel Ochiba,github

Hi there 👋 Welcome to my portfolio.

I'm Emmanuel Ochiba, a Python Developer, ML Engineer

Tech Stack

Python (Django, FastAPI...)
Machine Learning (Scikit-learn, TensorFlow, Langchain, Gradio, Streamlit, Pytorch...)
Data Analysis (Pandas, NumPy...)
Business Intelligence Tools (Tableau, Power BI...)
SQL
Kaggle: chibbss
Email: [email protected]

Feel free to reach out if you have any questions or would like to connect!

Thank you for stopping by!

Emmanuel Ochiba's Projects

ai-article-news-curator

This Python script allows you to curate the latest artificial intelligence news articles from various websites. It provides a consolidated source for AI enthusiasts to stay updated with the latest developments in the field.

beats-moc-website

This project is a simple landing page designed to showcase my own version of a Beats by Dre website. It features a clean and modern design to highlight the brand and its products.

chibbss

Python Developer | Data Analyst | ML/AI Engineer

discordbotnotifier

Get important Discord channel messages on your phone as SMS notifications.

django-chatgpt-clone

Personalized Fitness and Nutrition Chatbot: Leverage AI to receive tailored fitness and nutrition advice, anytime, anywhere. This Django-based application utilizes ChatGPT for customized coaching and support.

feedly-api-integration-for-ai-articles

Web scraping project aimed at fetching and processing AI-related articles using the Feedly API. It involves tasks such as API interaction, data storage in an SQLite database, and natural language processing (NLP) techniques.

python-youtube-downloader

A Python script for downloading YouTube videos.

responsive-portfolio

This is the personal portfolio website of Emmanuel Ochiba, showcasing a collection of projects and skills in web development, machine learning, and artificial intelligence.

self-supervised-learning-contrastive-reconstruction

Implementation of a self-supervised learning model trained with contrastive and reconstruction losses on the CIFAR-10 dataset.

t5-recommender-system

The goal is to leverage state-of-the-art techniques to provide personalized product recommendations that enhance user experience and drive engagement.

Recommend Projects