Atp Libraries

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Atp Libraries

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

🧡🧡🧡 HAPPY CODING 🧡🧡🧡 This challenge is designed for beginners and professionals who want to learn python programming language. It may take 30 to 100 days to complete the challenge, people who activel…

Open Machine Learning Course

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…

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Yellowbrick is compatible with Python 3.4 or later and also depends on scikit-learn and matplotlib. The simplest way to install Yellowbrick and its dependencies is from PyPI with pip, Python's prefer…

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…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

You can start with this article that I wrote in Heartbeat magazine (on Medium platform): Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, …

Evolutionary algorithm toolbox and framework with high performance for Python

The Genetic and Evolutionary Algorithm Toolbox for Python with high performance. The features of Geatpy: Capability of solving single-objective, multi-objectives, many-objectives and combinatorial op…

A site that displays up to date COVID-19 stats, powered by fastpages.

The content of this site shows statistics and reports regarding Covid-19.

A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app allows remotely controller camera configuration from a remote storage service name. Uses sqlite3 and gnuplot for reporting. Recently added openalpr license plate reader support.

On RPI putty SSH or terminal session right click, select paste then Enter to download and run script. To replace plugins rename (or delete) plugins folder per below This is a raspberry pi, Windows, U…

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

Pylustrator is a software to prepare your figures for publication in a reproducible way. This means you receive a figure representing your data and alongside a generated code file that can exactly re…

3D transformations for Python.

A Python library for transformations in three dimensions. pytransform3d offers... pytransform3d is used in various domains, for example: Use pip to install the package from PyPI: or conda: Various pl…

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

A live audio spectrum analyzer using pyAudio, matplotlib and scipy. A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio.

This repository consists of all my Machine Learning Projects.

🔐Free GPT-3.5 chat with your docs (PDF, WORD, CSV, TXT)

Additionally, you can deploy the app anywhere based on the document. Provide two models: LangChain is a framework for developing applications powered by language models. It supports the following app…

Achieve your marketing goals with the data analytics power of Python

Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of it based on the segments. The cou…

A python package for scraping oddsportal.com

ℹ️ Functionalities :

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Veja os tutoriais publicados do Sigmoidal: O Sigmoidal foi uma iniciativa pessoal para divulgar e tornar mais acessível conteúdos da área de Inteligência Artificial e Python. Tenho me comprometido 10…

A constantly updated python machine learning cheatsheet

Assuming we have the dataset in a loadable format (e.g., csv), here are the steps we follow to complete a machine learning project. A couple of notes before we go on. First of all, machine learning i…

A small library for creating pretty heatmaps of daily data.

A small library for creating pretty heatmaps of daily data. The reasoning was roughly as follows: Also, as a summer loving person stuck in the Northern hemisphere, July is my favourite month by a lig…

A constantly updated python machine learning cheatsheet

Assuming we have the dataset in a loadable format (e.g., csv), here are the stepswe follow to complete a machine learning project. A couple of notes before we go on. First of all, machine learning is…

:rainbow: Plot complex functions

cplot helps plotting complex-valued functions in a visually appealing manner. Install with and use as Historically, plotting of complex functions was in one of three ways Features of this software: …

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

A Python library for Secure and Explainable Machine Learning

SecML can run with Python >= 3.6 with no additional configuration steps required, as all its dependencies are available as wheel packages for the principal macOS versions, Linux distributions and …

My workshop on machine learning using python language to implement different algorithms

My workshop on machine learning using python language to implement different algorithms (University of Tabriz, Iran, 2017).

Algorithmic trading using machine learning.

This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers stock data using the Google Finance API and pandas. The data is illustra…

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you sta…

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

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Resources for teaching & learning practical data visualization with python.

This repository contains all materials related to a lecture / seminar I teach on practical data visualization with python. What I mean by "practical" is that the materials herein do not focus on one …