rasbt / uw-madison-datacience-club-talk-oct2019

Related projects: ⓘ

• rasbt / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆17Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆68Updated 5 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆29Updated 3 years ago
• ritchieng / pandas-guides
  Detailed notes and codes on learning pandas quickly for machine learning.
  ☆26Updated 7 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• rasbt / scikit-learn
  scikit-learn: machine learning in Python
  ☆15Updated 2 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 4 years ago
• atlanhq / airflow_blog
  Code that goes along with https://humansofdata.atlan.com/2018/06/apache-airflow-disease-outbreaks-india/
  ☆24Updated last year
• WillKoehrsen / airbus
  Work related to the Airbus Ship Detection Challenge https://www.kaggle.com/c/airbus-ship-detection
  ☆12Updated 6 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆79Updated 4 years ago
• DunderData / Dunder-Data-Challenges
  ☆28Updated this week
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆22Updated 3 months ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆29Updated 6 years ago
• edge-ai-vision / dlcvtf2
  Deep Learning for Computer Vision with TensorFlow 2.0
  ☆20Updated 4 years ago
• rdempsey / pyspark-for-data-processing
  Code for my presentation: Using PySpark to Process Boat Loads of Data
  ☆20Updated 6 years ago
• abhishekkrthakur / e01
  ☆37Updated 4 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated 5 months ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• susanli2016 / Deep-Learning-with-Python
  The repository of the book: Deep Learning with Python by Francois Chollet
  ☆16Updated 5 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆17Updated 4 years ago
• HackerEarth-Challenges / Future_Datathon
  This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.
  ☆10Updated 6 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆29Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated last year
• Einsteinish / bogotobogo-Machine-Learning
  Code repository - Jupyter notebook
  ☆39Updated 2 years ago
• wimlds / nyc-2019-scikit-sprint
  NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)
  ☆28Updated 5 years ago
• yuxiangdai / machine-learning-templates
  Template codes and examples for Python machine learning concepts
  ☆39Updated 7 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆76Updated 5 months ago