This capstone project will give you a taste of what data scientists go through in real life when working with data. It uses the location data and different location data providers, such as Foursquare. This project demonstrates about how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. During the project, I have learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. I have utilized Python and its pandas library to manipulate data, which helped me to refine my skills for exploring and analyzing data. Finally, I have used the Folium library to great maps of geospatial data and to communicate my results and findings.

autism-prediction-app

Predict the likelihood of a person having autism using survey and demographic variables Using Machine Learning

awesome-ml-courses

Awesome free machine learning and AI courses with video lectures.

awesome-technical-writing

:books: A curated list of awesome resources : articles, books, videos, tools, podcasts about technical writing

awesome-tflite

A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.

aws-config-rules

[Node, Python, Java] Repository of sample Custom Rules for AWS Config.

azure-in-bullet-points

☁️ Azure summary in bullet points

big-data-project

Data cleaning and profiling of NYC Open Data

buhari_sentiment

building-an-automated-weather-data-pipeline-with-airflow-from-ingestion-to-data-warehouse

This project focuses on building a robust data pipeline using Apache Airflow to automate the ingestion of weather data from the OpenWeatherAPI and loading it into a data warehouse, specifically AWS Redshift.