cs109 / 2015lab5
Lab 5, the first on Machine Learning!
☆26Updated 9 years ago
Alternatives and similar repositories for 2015lab5:
Users that are interested in 2015lab5 are comparing it to the libraries listed below
- Lab for Linear and Logistic Regression, SciKit Learn☆41Updated 6 years ago
- ☆22Updated 4 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 8 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- A complete daily plan for studying to become a machine learning engineer.☆50Updated 8 years ago
- Workshop: Python for Data Science☆62Updated 10 years ago
- ☆13Updated 9 years ago
- DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…☆61Updated 5 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- DSI Self Study Resources☆18Updated 5 years ago
- Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…☆35Updated 4 years ago
- General Assembly repo for Data Science 18☆36Updated 10 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆59Updated 8 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- ☆48Updated 6 years ago
- ☆40Updated 7 years ago
- A guide to useful pandas features for intermediate-level data mungers☆35Updated 9 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆24Updated 6 years ago
- common data analysis and machine learning tasks using python☆41Updated 8 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆150Updated 7 years ago
- Data science blog☆33Updated 6 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Materials for my pandas tutorial at PyData 2014, NYC☆111Updated 9 years ago
- AWS, Vagrant, and Spark☆21Updated 9 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 8 years ago
- ☆9Updated 9 years ago
- ☆33Updated 2 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 8 years ago