Tutorial Libraries

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Tutorial Libraries

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Install CatBoost by following the guide for the Next you may want to investigate: If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domain…

common data analysis and machine learning tasks using python

This repo contains a curated list of Python tutorials for Data Science, NLP and Machine Learning.

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

IPython Notebook(s) and other programming tools such as Torch/Lua/D lang in demonstrating deep learning functionality. Additional PyRo tutorials: IPython Notebook(s) demonstrating scikit-learn functi…

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and become less lazy. GitHub has problem rendering Jupyter notebook so …

Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI

To run the web application in debug use: If you run into the following error in your docker container: Ensure the DATABASE_URL variable is set correctly in the .env file. It is most likely caused by …

Learn Python for the next 30 (or so) Days.

Using python and scikit-learn to make stock predictions

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…

Tutorials and training material for the H2O Machine Learning Platform

This document contains tutorials and training materials for H2O-3. If you find any problems with the tutorial code, please open an issue in this repository. There are a number of tutorials on all so…

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

Below you can find a GPU multiplication example using the C++ and Python Kompute interfaces. You are able to try out the interactive Colab Notebooks which allow you to use a free GPU. The available e…

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

In these tutorials, we will demonstrate and visualize algorithms like Genetic Algorithm, Evolution Strategy, NEAT etc.

Course demos and handouts for Talk Python's Effective PyCharm course

JetBrain's PyCharm Cheat Sheet PyCharm is the premier Python IDE (integrated development environment). You will be hard-pressed to find an editor that gives a more holistic way to build Python applic…

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. T…

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Thank you for reading and for being a supporter of Towards AI! Big thank you to C4H3I LLC for sponsoring us in June, 2022!

Collection of scripts corresponding to LucidProgramming YouTube tutorials

If you found this code useful in your programming journey, please consider sponsoring the creation of my content by clicking on the "Sponsor" button in this repo. The funding goes to the creation of …

Code, exercises and tutorials of my personal blog ! 📝

The repository is organized the following way : For the moment, these cheat sheets are written manually. I'd like to create a visual content later that would both dive in the maths and illustrate cle…

Introduction to blender scripting

Some frequently used functions in blender, which will be used in most of the scripts. Simple rendering of a smooth sphere. First an icosphere is added with Then the subdivision surface modifier is ad…

Python package for stacking (machine learning technique)

Just give me a star in the top right corner of the repository page. At current point large part of stacking users are participants of machine learning competitions. On Kaggle you can't go too far wit…

Article back-end for hack.guides() website

We've all learned by reading great content on the web. Now is your chance to give back. Studies show the best way to learn is by teaching. In fact, writing is a great way to teach and learn at the…

A tutorial for manim, a mathematical animation engine made by 3b1b

A tutorial for manim, a mathematical animation engine made by 3b1b for Python. Lets first get the manim repo and python dependencies using the terminal - !!!to my knowledge manim only works with pyth…

Ways of doing Data Science Engineering and Machine Learning in R and Python

These series of tutorials on Data Science engineering will try to compare how different concepts in the discipline can be implemented in the two dominant ecosystems nowadays: R and Python. We will do…

🍺 A simple discord bot that helps you getting started within discord.py

This code is also made to be as typing friendly as possible with comments and everything. I recommend having Visual Studio Code with the Python extension installed to help you out with the code. You'…

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Hadoop Hive

A framework for creating semi-automatic web content extractors

The primary goal of Scrapple is to abstract the process of designing web content extractors. The focus is laid on what to extract, rather than how to do it. The user-specified configuration file cont…

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Building an accurate machine learning model requires several important steps. One of the most complex and time consuming is extracting information through features. Finding the right features is a cr…

Machine Learning notebooks for refreshing concepts.

Helpful jupyter noteboks that I compiled while learning Machine Learning and Deep Learning from various sources on the Internet. Linear & Multiple Regression Logistic Regression Regularization

The Zipru scraper developed in the Advanced Web Scraping Tutorial.

The scraper is not actually functional because Zipru is not a real site. The code, however, is otherwise complete and can easily be adapted to work on other sites.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Data Science Hacks is created and maintained by Analytics Vidhya for the data science community. It includes a variety of tips, tricks and hacks related to data science, machine learning These Hacks …