dvaughan79 / data-science-hard-parts-code

Related projects ⓘ

Alternatives and complementary repositories for data-science-hard-parts-code

• piotrszul / spark-tutorial
  Tutorial and examples for using Apache Spark
  ☆16Updated 7 years ago
• Apress / applied-data-science-using-pyspark
  Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla
  ☆43Updated 3 years ago
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook-Second-Edition
  Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
  ☆22Updated 3 weeks ago
• TrainingByPackt / Data-Science-for-Marketing-Analytics-elearning
  Achieve your marketing goals with the data analytics power of Python
  ☆12Updated 5 years ago
• PacktWorkshops / The-Deep-Learning-with-PyTorch-Workshop
  ☆33Updated last year
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆96Updated last year
• solegalli / machine-learning-interpretability
  ☆21Updated last month
• atreadw1492 / software_engineering_for_data_scientists
  ☆10Updated last year
• PacktPublishing / Data-Science-for-Marketing-Analytics-Second-Edition
  ☆116Updated 3 years ago
• PacktWorkshops / The-Data-Analysis-Workshop
  A New Interactive Approach to Learning Data Analysis
  ☆66Updated last year
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆52Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆171Updated last year
• PacktPublishing / Data-Science-and-Machine-Learning-Theory-and-Projects-A-to-Z
  ☆39Updated last year
• theomitsa / python
  ☆7Updated 5 years ago
• dvaughan79 / analyticalskillsbook
  Code for the book Analytical Skills for AI and Data Science
  ☆48Updated 4 years ago
• trainindata / forecasting-with-machine-learning
  Code repository for the course "Forecasting with Machine Learning Models"
  ☆16Updated 5 months ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆38Updated last year
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated 11 months ago
• PacktPublishing / Mastering-Unsupervised-learning-with-Python
  Code Repository for Mastering Unsupervised learning with Python, Published by Packt
  ☆26Updated last year
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆50Updated last week
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆61Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆97Updated last year
• shinchan75034 / tensorflow-pocket-ref
  ☆23Updated 3 years ago
• PacktPublishing / Artificial-Intelligence-with-Python-Cookbook
  Artificial Intelligence with Python Cookbook, published by Packt
  ☆71Updated last year
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• PacktPublishing / Essential-PySpark-for-Scalable-Data-Analytics
  Essential PySpark for Scalable Data Analytics, published by Packt
  ☆43Updated last year
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆87Updated last year
• ml874 / Notebook-Of-Things-I-Do-Not-Know-About
  Notebook relating to Machine Learning/Data Science and potentially various other topics.
  ☆28Updated 6 years ago
• Apress / advanced-forecasting-python
  Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
  ☆68Updated 2 years ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated last year