olatechie's Projects
a D3.js tutorial
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Notebooks and code for the book "Introduction to Machine Learning with Python"
A conference app built with Ionic to demonstrate Ionic
R kernel for Jupyter
Code for my blog post about text mining Last Week Tonight comments
š ļøā” Step-by-step tutorial to build a modern JavaScript stack.
Jupyter notebooks for the Julia Scientific Programming course on Coursera
A Python biomedical relation extraction package that uses a supervised approach (i.e. needs training data).
Master in Data Science Final Project
:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!
A place for learning Angular 2. Starter files and projects included.
For help, ask in #questions at slack.jscomplete.com
Examples from the book "Learning Web Application Development".
Lime: Explaining the predictions of any machine learning classifier
Scripts to automate dev setup of hadoop on mac environment
This repository contains my ML scripts in R
machine learning and deep learning tutorials, articles and other resources
Building and Embedding Machine Learning Model into a Web App(With Flask,etc)
A collection of machine learning examples and tutorials.
It is rumored that Nigerians only know how to consume tools and not create them. Here is a curation of awesome tools built by Nigerians that can be used by anybody and from anywhere in the world.
REST API service to expose deep learning model to detect faces and return count of faces with masks, without masks and masks worn incorrectly. Made using Django.
ME414 Introduction to Data Science and Big Data Analytics 2017
A native Android container for Medic Mobile's Community Health Worker mobile application
Medic Mobile combines SMS messaging, data collection, and analytics for health workers and health systems in hard-to-reach areas with or without internet connectivity.
A mobile medicine reminder built with Flutter, Provider and BLoC pattern.
https://ievidently.github.io/metaprac/