#自然语言处理#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...
#算法刷题#Open Machine Learning Course
#自然语言处理#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.
📊 Generate a personal YouTube report from your Google Takeout data
#计算机科学#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
matplotlib extension for vaporwave aesthetics
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
#自然语言处理#A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
#自然语言处理#Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
#自然语言处理#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
This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.
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) m...
🐍 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.
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.