Data-science Libraries

It was last updated to a fully running version in late October, 2021. You should refer to the Jupyter Notebooks in this repository rather than the book's source code, which is badly outdated and will…

The MovieGEEK is a website initially implemented to accompany my book, Practical Recommender Systems. However, this folder is used for the manning LiveProject, which is currently in MEAP. The website…

Analyzing the IRIS dataset with Sci-Pype This notebook shows how to make new predictions with cached IRIS Classifier Models + Analysis housed in redis. This notebook shows how to make new predictions…

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Version 1.1 is available to install via Pip: Run the search on the rightmove website and copy the URL of the first results page. Create an instance of the class with the URL as the init argument. Fin…

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

The installation instructions are generic and should work on most operating systems that support the prerequisites. Please refer to the individual packages for more information about additional depen…

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions. It provides support for the following machine learning frameworks and packages: License is MI…

These algorithms offer a computationally efficient way to perform feature selection that is sensitive to feature interactions as well as simple univariate associations, unlike most currently availabl…

This repository is part of the book: "Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" This accessible and classroom-tested textbook/reference presents an int…

This repository contains a collection of Python labs that go in tandem with the textbooks. These expose students to applications and numerical computation and reinforce the theoretical ideas taught i…

A repository for the code, files, and other assets used in LearnDataSci articles. Links to posts on LearnDataSci and their repos (sorted by recency):

published September 20th, 2017 Oh, there are so many things that we improved or added; where should I start!? The one issue on top of my priority list was to fix all the nasty typos that were introdu…

While I would not live trade based off of the predictions from this exact code, I do believe that you can use this project as starting point for a profitable trading system – I have actually used cod…

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you. Bots remain a hot topic. Everyone is talking about them. How about building one f…

Logdissect is a CLI utility and Python library for analyzing log files and other data. It can parse, merge, filter, and export data (to log files, or JSON). Re-parsing: If you are planning on parsing…

mlcourse.ai is still in self-paced mode but we offer you Bonus Assignments with solutions for a contribution of $17/month. The idea is that you pay for ~1-5 months while studying the course materials…

  Get started with W&B in four steps: That's it! Navigate to the W&B App to view a dashboard of your first W&B Experiment. Use the W&B App to compare multiple experiments in a unified…

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Flexible integration for any Python script: Build …

Speedml is a Python package for speed starting machine learning projects. XGBoost is one of the most popular frameworks used by winning solutions solving for Machine Learning competitions on Kaggle. …

If you use DLTK in your work please refer to this citation for the current version: Setup a virtual environment and activate it. Although DLTK<=0.2.1 supports and python 2.7, we will not support i…

An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. When you're ready to start your project, we…

We start with a high level overview of some foundational concepts in numerical linear algebra. We will use the newsgroups dataset to try to identify the topics of different posts. We use a term-docu…

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

Here, you can find all cheatsheets for Data Science, Machine Learning and Deep Learning.