Open Machine Learning Course
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Updated
Apr 1, 2022 - Python
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Open Machine Learning Course
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-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
matplotlib extension for vaporwave aesthetics
Kaggle Struggle
This repository consists of all my Machine Learning Projects.
This repository provides everything you need to get started with Python for (social science) research.
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Achieve your marketing goals with the data analytics power of Python
add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
A constantly updated python machine learning cheatsheet
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.
Better heatmaps in Python
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Resources for teaching & learning practical data visualization with python.
Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
Data Visualization With Matplotlib and Seaborn
Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight
Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn
Add a description, image, and links to the seaborn topic page so that developers can more easily learn about it.
To associate your repository with the seaborn topic, visit your repo's landing page and select "manage topics."