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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 (part I) 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 this session 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. - 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 | ||
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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 | ||
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✨Emoji Predictor with Machine Learning✨ Python:exclamation:Python:exclamation:Python:exclamation:
- by Alex Gamez, Software Engineer @ Lockheed Martin Aeronautics 🚀 | ||
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Data Manipulation with Python Pandas. Come study all the delightful data and play with Pandas! | ||
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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 |
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