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Cracking the Coding Interview 6th Ed. Python Solutions
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Interactive Data Visualization in the browser, from Python
Solutions to "Must Do Coding Questions for Companies like Amazon, Microsoft, Adobe (Geeksforgeeks)" in Python3
Solutions to Daily Coding Problem questions
Interview coding questions and experiences for several companies merged into one repository
This repository focuses on gathering and making a curated list resources to learn Hadoop for FREE.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
VIP cheatsheets for Stanford's CS 230 Deep Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Full Speed Python: a book for self-learners
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
A collection of design patterns/idioms in Python
Everything you need to know to get the job.
💯 Curated coding interview preparation materials for busy software engineers
A complete daily plan for studying to become a machine learning engineer.
machine learning and deep learning tutorials, articles and other resources
📝 An awesome Data Science repository to learn and apply for real world problems.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
scikit-learn: machine learning in Python
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Set up a modern web app by running one command.