ggplotseven's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
statsmodels
Statsmodels: statistical modeling and econometrics in Python
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Credit-Card-Score
基于Python的申请信用评分卡模型分析
Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
nyc
nyc
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
bili_class
for bili tranning
MachineLearning
Basic Machine Learning and Deep Learning
wtfpython
A collection of surprising Python snippets and lesser-known features.
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
tutorials
机器学习相关教程
facial-expression-recognition-svm
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
Crazy-Python
What the f*ck Python 中文翻译
Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
knowledge-graph
知识图谱
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
liquidSVM
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
phraug
A set of simple Python scripts for pre-processing large files
SVM-CNN
A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.