Statistics for topic matplotlib
RepositoryStats tracks 584,797 Github repositories, of these 307 are tagged with the matplotlib topic. The most common primary language for repositories using this topic is Python (154). Other languages include: Jupyter Notebook (114)
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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 ...
Python Data Science Handbook: full text in Jupyter Notebooks
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
Hydrogen wavefunction modeling and electron probability density plots
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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 ...
Python Data Science Handbook: full text in Jupyter Notebooks
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
implement basic and contextual MAB algorithms for recommendation system
Hydrogen wavefunction modeling and electron probability density plots
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
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 ...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Python Data Science Handbook: full text in Jupyter Notebooks
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
This software is currently under development. It can be used to visualise data into various forms of plots ranging from primary to advanced level. It can also be used as a finance tracker.
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
ML-algorithms from scratch using Python. Classic Machine Learning course.
This software is currently under development. It can be used to visualise data into various forms of plots ranging from primary to advanced level. It can also be used as a finance tracker.
This repository contains Python code for visualizing the Bank Marketing dataset using various data visualization techniques. The dataset is loaded from a CSV file, and both numerical and categorical f...
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 ...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Python Data Science Handbook: full text in Jupyter Notebooks
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
Rapid generation of high-quality structure figures for publication with PyMOL-PUB