Precious Kolawole's Projects
machine-readable data for https://awesome-selfhosted.net
This repo contains the step by step of developing a predictive model that determines if a customer will submit a vehicle insurance claim in the next three months hosted by UMOJA HACK NIgeria on Zindi
This repository contains python programs for beginners
This illustrates the health status of 26 of the nation’s largest and most urban cities as captured by 34 Health(and six demographic-related) Indicators. These indicators represent some of the leading causes of morbidity and mortality in the United States, and leading priorities of National, State, and Local Health Agencies. Public health data were captured in 9 categories: HIV/AIDS, Cancer, Nutrition/ Physical Activity/ Obesity, Food Safety, Infection Diseases, Maternal, and Child Health, Tobacco, Injury/Violence, and Health/ Substance Abuse
Master programming by recreating your favorite technologies from scratch.
This repository requires you to solve a problem by writing some basic python code.
Expresso is an African telecommunications company that provides customers with airtime and mobile data bundles. The objective of this challenge is to develop a machine learning model to predict the likelihood of each Expresso customer “churning,” i.e. becoming inactive and not making any transactions for 90 days.
Awesome Coding Problems
Model deployment using serverless, creation of AWS S3 bucket, and AWS Lambda
This is a repo for the Tanzania AI lab hackathon 2020 & the AI4Dev2020 challenge, where we as the Elixir team created the 1st AI based cancer diagnosis system, built a model comprising of Deep Convolutional Neural Network(CNN) and a web app that screens microscopic images so as to detect cancer tumors, thus increasing speed, accuracy in cancer diagnosis, and testing
Collection of free courses with certificates
Here is a Python Flask Tutorial, ranging from how to get started with the Flask framework, building a web app with databases using Flask Sql-alchemy, a sprinkle of bootstrap features enabling a nice user interface.
This monitors my growth and progress on the HTML tutorial from freecodecamp
This assessment approach is based on two main risk drivers of loan default prediction:. 1) willingness to pay and 2) ability to pay. Since not all customers pay back, prediction is made by building models to effectively predict the odds of repayment
A Special Open-Source Repository for all kinds of Data Science and Machine Learning Projects! Contribute your EDA Case Studies, ML Models, Deep Learning Algo, and fun Computer Vision ideas!
Machine learning model deployment with CI/CD concepts using Flask, Heroku & Travis CI.
Developed an approach by working on the Wikipedia dump data, Wikipedia API pages, and the protection pages by using the Python libraries and tools in decompressing and extracting data from the dump file. Did statistical analysis and some basic and complex visualizations to understand and generate insights from the data. Moreso, Machine Learning algorithms were used to predict if a protection type can be edited or moved. However, the work is still in progress, more sophisticated analysis, visualizations, and accuracies are still gonna be achieved before the submission of the final application.
The PatchCamelyon (PCam) deep learning classification benchmark.
In this notebook, we will learn how to use Plotly library.