Code and examples for the Mastering Data Mining project
☆49Aug 5, 2024Updated last year
Alternatives and similar repositories for masteringDM
Users that are interested in masteringDM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Mar 23, 2021Updated 5 years ago
- ☆12Sep 22, 2015Updated 10 years ago
- ☆11Oct 31, 2020Updated 5 years ago
- Code for building a sentiment classifier using classic Scikit-learn and a modern TensorFlow classifier.☆20Jan 9, 2018Updated 8 years ago
- ☆33Apr 30, 2018Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The Source code of 'Pragmatic Artificial Intelligence Algorithms: Based on Natural Language Processing' by China Machine Press(人工智能算法与实践…☆14Dec 9, 2019Updated 6 years ago
- Psiphon iOS Shared Client Library☆12Oct 15, 2024Updated last year
- [R] charting package using the JS Flot charting library☆11Feb 12, 2015Updated 11 years ago
- Recursive Neural Tensor Networks☆11Feb 3, 2014Updated 12 years ago
- Building Data Streaming Applications with Apache Kafka, published by Packt☆34Jan 30, 2023Updated 3 years ago
- ☆12Aug 29, 2015Updated 10 years ago
- ☆11Jul 15, 2020Updated 5 years ago
- Workshop materials for scraping Twitter with Python☆13May 25, 2016Updated 9 years ago
- USAAR participation in SemEval2015☆11Dec 21, 2022Updated 3 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Mastering Machine Learning with Spark 2.x, published by Packt☆43Jan 30, 2023Updated 3 years ago
- PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]☆13Jul 14, 2019Updated 6 years ago
- Presentation that gives a high level overview of Go and some basic language use case highlights.☆15Jan 29, 2017Updated 9 years ago
- Learning Data Mining with Python Second Edition by Packt☆94Jan 14, 2021Updated 5 years ago
- Hands-On Scala Programming [Video], published by Packt☆13Oct 31, 2022Updated 3 years ago
- Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing☆27Apr 16, 2019Updated 6 years ago
- Practical Data Science Cookbook, Second Edition, published by Packt☆42Jan 30, 2023Updated 3 years ago
- ☆10Jan 6, 2016Updated 10 years ago
- Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" …☆30Mar 31, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Adaptive Synthetic Sampling Approach for Imbalanced Learning☆13Jun 16, 2013Updated 12 years ago
- Bayesian statistics seminars☆29Apr 15, 2017Updated 8 years ago
- 记录edx的哥伦比亚大学机器学习课程资料☆18Sep 9, 2018Updated 7 years ago
- ☆29Mar 28, 2020Updated 6 years ago
- source code of Multiple-instance Learning Paraphrase (MultiP) Model for Twitter☆13Jun 10, 2016Updated 9 years ago
- Begin to Code with Python book website☆12Mar 11, 2023Updated 3 years ago
- Library that extends NLTK and integrates FreeLing, Stanford Shift-Reduce, TreeTagger, and MaltParser.☆10Feb 24, 2016Updated 10 years ago
- Source code for "A deep dive into reinforcement learning"☆13Dec 17, 2019Updated 6 years ago
- Samplers, samplers, samplers☆10Oct 31, 2016Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆12Nov 17, 2015Updated 10 years ago
- 用户画像代码,根据算法推算出用户的性别和年龄比率☆11Dec 18, 2017Updated 8 years ago
- The Python Apprentice, published by Packt☆20Mar 2, 2026Updated last month
- ☆19Sep 8, 2017Updated 8 years ago
- ☆20May 12, 2022Updated 3 years ago
- Code samples, etc. for Mastering DevOps (Packt Publishing)