Harvard-IACS / 2019-CS109B

Related projects ⓘ

Alternatives and complementary repositories for 2019-CS109B

• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆146Updated 4 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆50Updated 3 years ago
• pierpaolo28 / Companies-Data-Science-Challenges
  Collection of Data Science Challenges designed by different companies during Hackatons, Events, etc...
  ☆28Updated 3 years ago
• jcrouser / islr-python
  ☆108Updated 3 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 2 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 7 months ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆62Updated 5 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆74Updated last year
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 4 months ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆140Updated 4 years ago
• Harvard-IACS / 2020-CS109B
  ☆52Updated 4 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆65Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 2 months ago
• Viveckh / New-ML-Data-Science-Framework-Tutorials-By-EJ
  Internet's Most Popular Tutorials on Fresh-off-the-shelf ML & Data Science Technologies, Authored by Yours Truly.
  ☆18Updated 4 years ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 5 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆162Updated 4 years ago
• theengineeringworld / statistics-using-python
  These files are part of Youtube Course "Statistics Using Python" Offered By The Engineering WOrld. Offered By: http://youtube.com/theengi…
  ☆47Updated 5 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆126Updated 3 years ago
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆43Updated 6 years ago
• Harvard-IACS / 2020-CS109A
  ☆113Updated 2 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆158Updated 2 years ago
• jjw244 / UCSanDiegoX-DSE200x-Python-for-Data-Science
  UCSandDiego Micro Masters Program
  ☆31Updated 6 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• Benlau93 / Data-Science-Curriculum
  Data Science Curriculum for the non-technical
  ☆57Updated 5 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆113Updated last month
• aviolante / sas-python-work
  ☆74Updated 4 years ago