ezekielolugbami Goto Github PK

followers: 4.0 following: 21.0 repos: 36.0 gists: 1.0

Name: Ezekiel Olugbami

Type: User

Bio: Making lives better with Data Science

Twitter: e_olugbami

Location: Lagos, Nigeria

Blog: https://www.linkedin.com/in/ezekiel-olugbami/

Hi 👋, I'm Ezekiel Olugbami

I'm passionate about data analytics, and I love turning data into meaningful insights.

📝 I occasionally write articles on https://medium.com/@ezekiel.olugbami
💬 Ask me about Data Science, Machine Learning
📫 How to reach me [email protected]
📄 Know about my experiences Updated CV - 9/4/2024
⚡ Fun fact I'm passionate about keeping active, whether it's a long run outdoors or a quick sprint to the couch for a series marathon.

Connect with me:

Languages and Tools:

Ezekiel Olugbami's Projects

awesome-technical-writing

:books: A curated list of awesome resources : articles, books, videos, tools, podcasts about technical writing

color-game

An rgb code color game for helping you practice

comedy_show_recommender

A machine learning recommender for recommending personalized comedy shows in Nigeria based on ratings.

data-science-best-resources

Carefully curated resource links for data science in one place

datasist

A Python library for easy data analysis, visualization, exploration and modeling

ehealth-app

A simple Django ehealth app for managing medical details.

gekko

A bitcoin trading bot written in node - https://gekko.wizb.it/

house_prices_advanced_regression_techniques

Practice exploratory analysis, feature engineering, build and deploy machine learning model for predicting house price. Data set obtained from kaggle.

image-gallery

An image gallery which can serve as portfolio for photographers

introduction_to_python_programming

A series on various concepts on Python Programming

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.