precillieo Goto Github PK

3005-assignment3

algorithms-and-data-structures-in-python

awesome-selfhosted-data

machine-readable data for https://awesome-selfhosted.net

axa-vehicle-insurance-claim-challenge-by-umojahack-africa

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

basic-python-codes

This repository contains python programs for beginners

big-cities-health-data-analysis

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

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

can-you-solve-a-problem

This repository requires you to solve a problem by writing some basic python code.

choice-coin

churn-prediction

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.

code-overflow

Awesome Coding Problems

code_snippets

deploy-model-to-aws-lambda-serverless

Model deployment using serverless, creation of AWS S3 bucket, and AWS Lambda

dsn20

elixir-cancer-diagnosis-ai-based-system

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

free-courses-with-certificates

Collection of free courses with certificates

full-featured-web-app-with-flask

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.

gender-based-violence-classification-dashboard

housing-prices

html-web-development-tutorial

This monitors my growth and progress on the HTML tutorial from freecodecamp

image-downloader-from-url

learn-fastapi

loan-default-prediction

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

melanoma-deep-learning

ml-gallery

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!

ml-model-dockerfile-to-aws-lightsail

naivebayes

Machine learning model deployment with CI/CD concepts using Flask, Heroku & Travis CI.

outreachy-internship-final-contribution

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.

pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

plotly-tutorial-for-beginners

In this notebook, we will learn how to use Plotly library.