15,565 repositories
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
Open Machine Learning Course
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
This repository consists of all my Machine Learning Projects.
AI与数据科学各类工具库速查表与参考代码
:bar_chart: Generate a personal YouTube report from your Google Takeout data
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
matplotlib extension for vaporwave aesthetics
This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib and seaborn.
🐍 The Complete Python Pro Bootcamp for 2021
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Cuadernos Colab y recursos de apoyo para aprender y enseñar programación, análisis de datos, ciencia de datos y machine learning con Python.
Mini Projects on Data Analytics including Exploratory Data Analysis, Recommendation Systems, Association Rule Mining, Sentiment Analysis, Time Series Analysis
Kaggle Struggle
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
This repository provides everything you need to get started with Python for (social science) research.
Curso de python básico orientado al análisis de datos, en español
Achieve your marketing goals with the data analytics power of Python
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.
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)
Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets curiosity. Let's connect, learn, and code together. Click ⭐ on GitHub to stay tuned for updates on my work!