Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (+100%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+2515.49%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+3191.55%)
Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (+147.89%)
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
Stars: ✭ 13,200 (+18491.55%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (+52.11%)
ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
Stars: ✭ 196 (+176.06%)
Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
Stars: ✭ 195 (+174.65%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+173.24%)
Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Stars: ✭ 239 (+236.62%)
Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Stars: ✭ 194 (+173.24%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (-56.34%)
playgroundA Streamlit application to play with machine learning models directly from the browser
Stars: ✭ 48 (-32.39%)
skippaSciKIt-learn Pipeline in PAndas
Stars: ✭ 33 (-53.52%)
KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Stars: ✭ 35 (-50.7%)
Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (+1494.37%)
ZatZeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
Stars: ✭ 303 (+326.76%)
SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
Stars: ✭ 107 (+50.7%)
Profanity CheckA fast, robust Python library to check for offensive language in strings.
Stars: ✭ 354 (+398.59%)
DrawReimplementation of DRAW
Stars: ✭ 346 (+387.32%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+687.32%)
Handson MlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Stars: ✭ 23,798 (+33418.31%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+812.68%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+385.92%)
Computer Vision Actioncomputer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...
Stars: ✭ 19 (-73.24%)
PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Stars: ✭ 31,995 (+44963.38%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-71.83%)
Traingenerator🧙 A web app to generate template code for machine learning
Stars: ✭ 948 (+1235.21%)
LearningThe data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Stars: ✭ 330 (+364.79%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-50.7%)
Practical dlDL course co-developed by YSDA, HSE and Skoltech
Stars: ✭ 1,006 (+1316.9%)
Machine Learningnotebooks with example for machine learning examples
Stars: ✭ 45 (-36.62%)
Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
Stars: ✭ 1,014 (+1328.17%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (+26.76%)
Deep Learning PythonIntro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Stars: ✭ 94 (+32.39%)
Fraud DetectionCredit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Stars: ✭ 58 (-18.31%)