Alternatives and similar repositories for 2015lab3:

Users that are interested in 2015lab3 are comparing it to the libraries listed below

• cs109 / 2015lab2
  ☆22Updated 4 years ago
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆26Updated 9 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 6 years ago
• cs109 / 2015lab11
  Overview of a project: Food Inspection Forecasting
  ☆9Updated 4 years ago
• changhiskhan / talks
  ☆24Updated 12 years ago
• OrysyaStus / UCSD_Data_Science_and_Engineering
  In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and s…
  ☆27Updated 7 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆62Updated 10 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆50Updated 8 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆164Updated 8 months ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆59Updated 8 years ago
• randomthought / mastering_python_pandas
  Doing the tutorial from Brandon Rhodes PyCon 2015
  ☆15Updated 9 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• justmarkham / python-data-analysis-workshop
  Workshop: Intro to Python for Data Analysis
  ☆72Updated 10 years ago
• cs109 / git-and-github
  An introduction to git.
  ☆11Updated 10 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• datacamp / datacamp_facebook_live_titanic
  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
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 9 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆198Updated 7 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• cs109 / 2015lab8
  AWS, Vagrant, and Spark
  ☆21Updated 9 years ago
• PacktPublishing / Data-Analysis-and-Exploration-with-Pandas
  Data Analysis and Exploration with Pandas, published by Packt
  ☆17Updated 4 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 6 years ago