tirthajyoti / Interactive_Machine_Learning

Related projects: ⓘ

• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆246Updated 5 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆262Updated 4 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆194Updated 7 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆86Updated 8 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆107Updated 6 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆163Updated 5 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
  ☆139Updated 4 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated last year
• deniederhut / Slides-SciPyConf-2018
  A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
  ☆135Updated 5 years ago
• neerjad / MachineLearning
  A repo with tutorials for algorithms from scratch
  ☆100Updated 6 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆162Updated 4 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆219Updated 3 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆67Updated 5 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 5 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆167Updated 3 years ago
• jupyter-guide / ten-rules-jupyter
  Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
  ☆253Updated 2 months ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆345Updated 3 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆97Updated last year
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆79Updated 7 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆74Updated last year
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆283Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆132Updated 4 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆153Updated 5 years ago