Name: Patrick Munene
Type: User
Company: Hewani Data
Bio: Hands-on data enthusiast with a strong analytical background, technical skill sets, to uncover insights, communicate findings, and create data-driven solutions.
Location: Nairobi, Kenya.
Blog: https://www.hewanidata.com/
Patrick Munene's Projects
Selenium based instagram image scraper
Image Colorization App
Get Instagram posts/profile/hashtag data without using Instagram API
Download images and videos from Instagram in a structured way
Shape files repository for Juba regionalization project.
This Repository is for the the Kaggle competition about predicting the passengers who are likely to survive.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
List of aircraft registered in Kenya
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
The most versatile data labeling platform for training expert AI.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Python code for common Machine Learning Algorithms
Marketing automation with data science
Mastering Python for Finance – Second Edition, published by Packt
Repository to host code, data and figures for Medium posts
This is a repository of python notebooks used in my blog posts on medium.
All my experiments with AI and ML
Various notebooks for practice.
Experimental ML
Models and examples built with TensorFlow
Jupyter Notebooks with Fluent Python examples
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
A tutorial walk through from beginner to advanced pandas
Code, Notebooks and Examples from Practical Business Python
The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-from-space
Pothole Detection Using Computer Vision (Masked-RCNN)
Predict what a customer will buy next based on purchase history using automated feature engineering