amitkaps / full-stack-data-scienceLinks
Full Stack Data Science in Python
☆257Updated 7 years ago
Alternatives and similar repositories for full-stack-data-science
Users that are interested in full-stack-data-science are comparing it to the libraries listed below
Sorting:
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆331Updated 2 years ago
- A step-by-step guide to get started with Applied Machine Learning☆141Updated 7 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- A curated list of data science blogs☆100Updated 7 years ago
- Projects for my Udacity Data Analyst Nanodegree☆104Updated 5 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆156Updated 7 years ago
- ☆101Updated 7 years ago
- A complete daily plan for studying to become a machine learning engineer.☆53Updated 9 years ago
- Public Repository for cs109a, 2017 edition☆327Updated 2 years ago
- Guide explaining and implementing fundamental machine learning algorithms in Python☆172Updated 7 years ago
- This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.☆155Updated 2 years ago
- Lessons learned the hard way through over 30+ data science interviews☆230Updated 5 years ago
- Applied Machine Learning @ http://amitkaps.com/ml☆39Updated 6 years ago
- Notebook to download machine learning flashcards☆457Updated 5 years ago
- A curated list of data science blogs☆44Updated 6 years ago
- A constantly updated python machine learning cheatsheet☆168Updated 8 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆236Updated 2 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆273Updated 9 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 7 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆82Updated 9 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Updated 5 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆438Updated 4 years ago
- Codes related to various ML Hackathons☆211Updated 6 years ago
- Harvard CS109b Public Repository☆238Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- Deep Learning Study Group☆330Updated 5 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago