cs109 / 2015lab4Links
Lab for Linear and Logistic Regression, SciKit Learn
☆41Updated 6 years ago
Alternatives and similar repositories for 2015lab4
Users that are interested in 2015lab4 are comparing it to the libraries listed below
Sorting:
- A complete daily plan for studying to become a machine learning engineer.☆52Updated 8 years ago
- iPython NOtebooks on Stats☆164Updated 11 months ago
- An awesome Data Science repository to learn and apply for real world problems.☆60Updated 9 years ago
- common data analysis and machine learning tasks using python☆41Updated 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 6 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- Lab 5, the first on Machine Learning!☆26Updated 9 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- Statistics for Machine Learning, published by Packt☆157Updated 2 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆180Updated 7 years ago
- A curated list of data science blogs☆44Updated 5 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆326Updated 2 years ago
- Hands-On Data Science and Python Machine Learning, published by Packt☆142Updated 2 years ago
- It consists of examples, assignments discussed in data science course taken at algorithmica.☆108Updated last year
- ☆213Updated 4 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Notebooks for Course☆244Updated 9 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- ☆101Updated 7 years ago
- Code files added☆99Updated 2 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆87Updated 7 years ago
- Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)☆100Updated 8 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 5 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Interview stuff for friends☆84Updated 2 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆111Updated 8 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 8 years ago
- ☆32Updated 6 years ago