Alternatives and similar repositories for 2018-datascience-lectures

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

• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 6 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆33Updated 7 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 8 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆82Updated 9 years ago
• mmmayo13 / scikit-learn-classifiers
  An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
  ☆102Updated 10 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• alanderex / pydata-pandas-workshop
  Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
  ☆65Updated 3 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆107Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆144Updated 5 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated 2 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 9 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆501Updated 7 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆53Updated 9 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆78Updated 3 years ago
• dlab-berkeley / Python-Data-Wrangling-Legacy
  D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.
  ☆52Updated 3 years ago
• COGS108 / Tutorials
  Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.
  ☆81Updated 8 months ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆166Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 8 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆182Updated 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…
  ☆63Updated 5 years ago