ML Mondays Join us alternating Mondays for a wholesome & healthy dose of ML 🌟. -- Starting off with a whirlwind review of Python & then diving into foundational libraries.
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ETL Made Simple with PySpark (parts I & II) Apache Spark is currently one of the most popular systems for large-scale data processing - making it a standard for any developer or data scientist interested in big data. Spark supports multiple widely used programming languages(Scala, Python, R, Java) and a wealth of built-in and third-party libraries. In Session I you will be introduced to Apache Spark main concepts & you'll learn how to leverage the DataFrame API to extract data. You will also learn how to connect to different sources, apply schemas when reading data, and handle corrupt records. In session II you will be introduced to some of the most useful transformations - adding new columns, casting column types, renaming columns, etc. You'll also learn how to define User Defined Functions to do your own custom transformations & a get a little introduction to executing your own ad hoc SQL! - By Aida Martinez |
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A Walk-throug of Respiratory Buddy A Web Application helping Doctors & medical personnel detect & diagnose Respiratory/Lung Diseases using CXR (X-Ray data) images. - by Vishwa Mehta | |||
Getting Started with Numpy Python, data, matrices, transformations & all things Numpy! Join Yashika as she covers the basics of this powerful & essential Data Science library that underpins Pandas, Matplotlib, Seaborn, & many many others. - by Yashika Sharma | |||
✨Emoji Predictor with Machine Learning✨ Python:exclamation:Python:exclamation:Python:exclamation:
- by Alex Gamez, Software Engineer @ Lockheed Martin Aeronautics 🚀 | |||
Data Manipulation with Python Pandas. Come study all the delightful data and play with Pandas! | |||
Titanic Machine Learning webinar 7/30/2019 Do you want to rank in the top 10% in a Kaggle Competition? Explore the Titanic Dataset & get a taste of Exploratory Analysis & Machine Learning Prediction with Python. - By Kunal Lalwani
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Taller Internacionalización con Django 7/24/2019 Aprende los conceptos relacionados con la internacionalización de aplicaciones web con ejemplo traducción del contenido estatico y dinamico de un sitio web. - Por Isabel Cristina Ruiz Buritica |
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Using Jupyter, Pandas & Matplotlib: PyCon 2019 (re-broadcast 7/02/2019) Using Jupyter Notebook, Pandas, and Matplotlib to create a framework for teaching data science in a scientific context. Download the presentation and resources here. - By Gabrielle Rabinowitz |
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Automate Boring Stuff Automate the Boring Stuff With Python: A friendly forum where we can ask questions, provide feedback & help each other with our coding journey. Explore our code & notes for each chapter here! - By Jamila Evilsizor |
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Python Project Nights Explore beginner projects with code samples & warm-up exercises. - By Bethany Garcia |