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《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Library for fast text representation and classification.
The fundamental package for scientific computing with Python.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
Text_Classification_Study_Wp
Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some …
Litchi-sci / RandomForestClassification-with-TensorFlow
Forked from salekali/RandomForestClassification-with-TensorFlowCode for running Random Forest Classification over a dataset of adults earning over and under $50,000.
This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision …
12th Solution: Matrix Factorization for High-Dimensional and Sparse Time Series Prediction
A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
The basic distribution probability Tutorial for Deep Learning Researchers
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP