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Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
A collection of algorithms and data structures
A complete computer science study plan to become a software engineer.
A collection of tutorials for different machine learning tasks
Cookiecutter template for a simple jupyter book
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Code samples for my book "Neural Networks and Deep Learning"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A game theoretic approach to explain the output of any machine learning model.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
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,…
Answers to 120 commonly asked data science interview questions.
My Answer to 120 Data Science Interview Questions
A List of Data Science/Machine Learning Resources (Mostly Free)
Data science interview questions and answers
Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站
Everything you need to know to get the job.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
All Algorithms implemented in Python
🎆Interactive Online Platform that Visualizes Algorithms from Code
Resources for Python Crash Course, from No Starch Press.
Jupyter metapackage for installation, docs and chat