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Pandas introduction talk I gave at Pydata Paris 2015
AIC Quarter 2 Learning and practice resources
Applied Deep Learning with Python, published by Packt
Face based attendance system using python and OpenCV
PIAIC Quarter 2 Classes
The Credit Card Fraud Detection project is used to identify whether a new transaction is fraudulent or not by modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. We will use various predictive models to see how accurate they are in detecting whether a transaction is a normal payment or a fraud.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TensorFlow documentation
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
Keras documentation, hosted live at keras.io
Content for Udacity's Machine Learning curriculum
Code samples for the ML Crash Course learning path.
Notes made on the book Python for Data Analysis, 2nd Edition.
Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library
Resources for Python Crash Course, from No Starch Press.
Online resources for Python Crash Course (Second Edition), from No Starch Press
This repository is dedicated for the students of PIAIC Batch 35 Quarter 2 Students
piaic q2 code example of different topics related to datascience and AI , speically, numpy, pandas and kares deep learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.