Alternatives and similar repositories for Elements-of-Functional-Programming-in-Python:

Users that are interested in Elements-of-Functional-Programming-in-Python are comparing it to the libraries listed below

• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 6 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• llSourcell / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆45Updated 6 years ago
• amitkaps / applied-machine-learning
  Applied Machine Learning @ http://amitkaps.com/ml
  ☆38Updated 5 years ago
• jakevdp / SeattleBike
  Understanding Seattle Bike Count data
  ☆17Updated 7 years ago
• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 8 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 6 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• Dataweekends / python_libraries_for_ml_and_dl
  Introduction to Pandas, Scikit-Learn and Keras
  ☆13Updated 5 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 7 years ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 6 years ago
• nataliasverchkova / on-using-google-colab
  For noobs like me: how to connect your google drive to Colab and download data with kaggle API
  ☆26Updated 6 years ago
• changhiskhan / talks
  ☆24Updated 11 years ago
• jesford / testing-in-data-science
  Intro to Testing in Data Science Tutorial
  ☆35Updated 2 years ago
• robert-alvarez / pytorch_tutorial
  ☆31Updated 5 years ago
• nahidalam / NLP_Study_Group
  ☆10Updated 6 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆48Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago