Alternatives and similar repositories for Medium-Data-Exploration:

Users that are interested in Medium-Data-Exploration are comparing it to the libraries listed below

• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆41Updated 4 years ago
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 4 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 6 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆29Updated 5 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆106Updated 6 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆78Updated 2 months ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆25Updated 5 years ago
• jseabold / odsc-west-python-2017
  Introduction to Python for Data Science
  ☆39Updated 7 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated 10 months ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 5 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 4 years ago
• tchambon / LabelMyTextWidget
  Jupyter notebook widget to quickly label text data
  ☆47Updated 6 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• erikbern / uncertainty
  ☆56Updated 6 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated last year
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 5 years ago
• RAMitchell / xgb-bias-variance
  ☆14Updated 5 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆94Updated 6 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• arvindbetrabet / Practical_Statistics_for_Data_Scientists
  This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…
  ☆35Updated 6 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆122Updated 7 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆69Updated 5 years ago
• prodigy803 / statistics-for-data-scientists-python
  Repository of all the python codes for the Book : Practical Statistics for Data Scientists.
  ☆26Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago