PacktPublishing / Machine-Learning-Techniques-for-Text

Related projects: ⓘ

• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆52Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆68Updated 11 months ago
• MuhammadAwon / ml-engineering
  The repository contains all the work including projects, notes, and articles related to ML Engineering while I am learning.
  ☆10Updated last year
• PacktPublishing / Computer-Vision-Theory-and-Projects-in-Python-for-Beginners
  Computer Vision Theory and Projects in Python for Beginners, by Packt Publishing
  ☆22Updated last year
• PacktPublishing / Graph-Data-Modeling-in-Python
  Graph Data Modeling in Python, by Packt Publishing
  ☆35Updated 6 months ago
• PacktPublishing / Machine-Learning-Engineering-on-AWS
  Machine Learning Engineering on AWS, published by Packt
  ☆66Updated 5 months ago
• PacktWorkshops / The-Deep-Learning-with-PyTorch-Workshop
  ☆31Updated last year
• PacktWorkshops / The-Natural-Language-Processing-Workshop
  ☆28Updated last year
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook-Second-Edition
  Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
  ☆22Updated last month
• PacktWorkshops / The-Data-Analysis-Workshop
  A New Interactive Approach to Learning Data Analysis
  ☆65Updated last year
• murilogustineli / linear-algebra
  Python code for the Linear Algebra course by Mike X Cohen
  ☆23Updated 2 years ago
• PacktPublishing / Automated-Machine-Learning-on-AWS
  Automated Machine Learning on AWS, published by Packt
  ☆44Updated 8 months ago
• PacktPublishing / Data-Science-Analytics-AI-for-Business-the-Real-World-
  Data Science, Analytics & AI for Business & the Real World™, published by Packt
  ☆27Updated last year
• PacktPublishing / Artificial-Intelligence-with-Python-Cookbook
  Artificial Intelligence with Python Cookbook, published by Packt
  ☆69Updated last year
• 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 / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆31Updated 11 months ago
• PacktPublishing / Practical-Machine-Learning-on-Databricks
  Practical Machine Learning on Databricks, published by packt
  ☆15Updated 10 months ago
• PacktWorkshops / The-Data-Wrangling-Workshop
  pandas, numpy, matplotlib, data-wrangling
  ☆25Updated last year
• PacktPublishing / Comet-for-Data-Science
  Comet for Data Science, published by Packt
  ☆42Updated 11 months ago
• PacktPublishing / Mastering-spaCy
  Mastering spaCy, published by Packt
  ☆125Updated last year
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆60Updated last year
• PacktPublishing / Machine-Learning-with-Amazon-SageMaker-Cookbook
  Machine Learning with Amazon SageMaker Cookbook, published by Packt
  ☆50Updated last year
• PacktPublishing / Mastering-Unsupervised-learning-with-Python
  Code Repository for Mastering Unsupervised learning with Python, Published by Packt
  ☆26Updated last year
• PacktPublishing / Essential-PySpark-for-Scalable-Data-Analytics
  Essential PySpark for Scalable Data Analytics, published by Packt
  ☆43Updated last year
• PacktWorkshops / The-Applied-Data-Science-Workshop
  ☆28Updated last year
• PacktPublishing / Data-Science-and-Machine-Learning-Theory-and-Projects-A-to-Z
  ☆38Updated last year
• alexander-n-thomas / spark-nlp-book
  ☆56Updated 3 years ago
• PacktPublishing / The-Art-of-Data-Driven-Business-Decisions
  The Art of Data-Driven Business Decisions, published by Packt
  ☆18Updated 11 months ago
• PacktWorkshops / The-Unsupervised-Learning-Workshop
  An Interactive Approach to Understanding Unsupervised Learning Algorithms
  ☆25Updated 3 years ago
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆95Updated last year