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📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
12 Weeks, 24 Lessons, AI for All!
This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.
Workflow engine for Kubernetes
AWS Assignments
Repo has PyTorch implementation "Attention is All you Need - Transformers" paper for Machine Translation from French queries to English.
A curated list of amazingly awesome Cybersecurity datasets
:octocat: Machine Learning for Cyber Security
:sunglasses: A curated list of awesome MLOps tools
Reinforcement learning resources curated
This repository consists of useful links for study materials for those aspiring carrer in AWS
Bayesian Analysis with Python (Second Edition)
Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
My notes pertaining to python programming, data analysis and visualization
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)
Source Code for 'Deep Learning for Natural Language Processing' by Palash Goyal, Sumit Pandey and Karan Jain
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Reinforcement Learning with Python, Second Edition, published by Packt
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.