Alternatives and similar repositories for 2018-CS109A

Users that are interested in 2018-CS109A are comparing it to the libraries listed below

• jcrouser / islr-python
  ☆110Updated 4 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆756Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆312Updated 5 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆281Updated 9 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• matthewbrems / ODSC-missing-data-may-18
  Open Data Science Conference East, 2018: Data Science with Missing Data
  ☆65Updated 7 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• cs109 / 2015lab1
  ☆214Updated 4 years ago
• datacamp / course-resources-ml-with-experts-budgets
  Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
  ☆555Updated 7 years ago
• knathanieltucker / data-science-foundations
  ☆87Updated 3 years ago
• drivendataorg / box-plots-sklearn
  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
  ☆298Updated 7 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• rugantio / MachineLearningCourse
  A collection of notebooks of my Machine Learning class written in python 3
  ☆44Updated 7 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆543Updated 6 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆166Updated last year
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆771Updated 5 years ago
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆90Updated 2 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆939Updated 3 years ago
• DataScienceUB / introduction-datascience-python-book
  Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
  ☆448Updated last year
• knathanieltucker / bit-of-data-science-and-scikit-learn
  Youtube tutorial associated content
  ☆127Updated 6 years ago
• juincc0 / python_data_science_and_machine_learning_bootcamp
  Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
  ☆225Updated 8 years ago
• FisherKK / F1sherKK-MyRoadToAI
  Repository for storing and tracking my self-study progress.
  ☆215Updated 4 years ago
• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆326Updated 6 years ago
• uwescience / TrafficCruising-DSSG2017
  Public Repository for Traffic Cruising DSSG 2017 Project
  ☆132Updated 2 years ago
• alexhuang1117 / Data-Science-Portfolio
  A Portfolio of my Data Science Projects
  ☆185Updated 6 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago