1st-place-south-african-covid-19-vulnerability-map-hackathon

This Challenge aims to infer important COVID-19 public health risk factors from outdated data in South Africa

ad_campaign_performance

Project Overview SmartAd is a mobile first advertiser agency. It designs Intuitive touch-enabled advertising. It provides brands with an automated advertising experience via machine learning and creative excellence. Their company is based on the principle of voluntary participation which is proven to increase brand engagement and memorability 10 x more than static alternatives. SmartAd provides an additional service called Brand Impact Optimiser (BIO), a lightweight questionnaire, served with every campaign to determine the impact of the creative, the ad they design, on various upper funnel metrics, including memorability and brand sentiment. As a data scientist in SmartAd, one of your tasks is to design a reliable hypothesis testing algorithm for the BIO service and to determine whether a recent advertising campaign resulted in a significant lift in brand awareness.

adulido_data_challenge

afri_influencers

africastalking-python

Official Python SDK

alc

Codes for all the challenges and practice test for ALC 4.0

alien_invasion

american-sign-language---fingerspeller---gesture-detection-using-cnn

Convolution Neural Network to perform classification of various Fingerspelling gestures in American Sign Language

android-demo-app

PyTorch android examples of usage in applications

anim

An ABSOLUTELY STUNNING happy birthday website to send to your friends or family. Optimized for viewing on handphone 🎈

backend-intro

Backend web devlopment basics using js,mongodb,node,REST apis etc

bank_data

Using data from a Portugesse bank,our task is to classify which customers of the bank are likely to subscribe to a term deposit or not. Here we employ various machine learning algorithm so as to classify the customers. We explore the data using Tableau and preprocess it using various python libraries before creating our machine learning models.

bessy-mukaria.github.io

car_insurance

cgcnn

Crystal graph convolutional neural networks for predicting material properties.

chatapp-django_channels

In this tutorial, we will walk through the step by step to create a simple chat application, where users can exchange messages in real-time.

chess_pieces_object_detection

Creating an object detection model to identify chess pieces and deploy it on a mobile app. The app will then identify chess positions and connect to the alphago api to make a prediction in real time

chest_x-ray-classification

Using deep learning to classify which chest X-Ray images have TB and which chest X-Rays are normal

covid-19_policy_intervention

Change point analysis to quantify the impact of African government policy interventions to slow the spread of COVID-19

covid19_inference

Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

cryptopy

data-engineering-zoomcamp23

Repo to track my progress in the 2023 data engineering zoomcamp by datatalks club

database_as_service_api

A simple REST API that offers databse services

dbt-airflow-docker-compose

Execution of DBT models using Apache Airflow through Docker Compose

devops-course-resources

dingus

A record-then-assert test double library.

django_ecommerce

This is a simple ecommerce website built using django

dlaicourse

Notebooks for learning deep learning

docs

Documentation for Seattle Testbed (scroll down for README)

dog-breed-clasifier

A tensorflow model trained on a subset of of ImageNet canine data in order to classify dog images into their correct breeds. The model is deployed as a streamlit web app.