PantheraData-frames & arrays on Clojure
Stars: ✭ 168 (+1020%)
Bootcamp pythonBootcamp to learn Python for Machine Learning
Stars: ✭ 228 (+1420%)
KymatioWavelet scattering transforms in Python with GPU acceleration
Stars: ✭ 396 (+2540%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+2440%)
SdcIntel® Scalable Dataframe Compiler for Pandas*
Stars: ✭ 623 (+4053.33%)
Baby Names AnalysisData ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Stars: ✭ 557 (+3613.33%)
PandapyPandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Stars: ✭ 474 (+3060%)
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Stars: ✭ 47 (+213.33%)
PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Stars: ✭ 60 (+300%)
Data-Wrangling-with-PythonSimplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
Stars: ✭ 90 (+500%)
support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Stars: ✭ 142 (+846.67%)
DatscanDatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
Stars: ✭ 13 (-13.33%)
MlkatasA series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills
Stars: ✭ 58 (+286.67%)
XarrayN-D labeled arrays and datasets in Python
Stars: ✭ 2,353 (+15586.67%)
covid-19Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
Stars: ✭ 14 (-6.67%)
hamiltonA scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
Stars: ✭ 612 (+3980%)
100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Stars: ✭ 1,382 (+9113.33%)
SspipeSimple Smart Pipe: python productivity-tool for rapid data manipulation
Stars: ✭ 96 (+540%)
NumcppC++ implementation of the Python Numpy library
Stars: ✭ 2,031 (+13440%)
AlphalensPerformance analysis of predictive (alpha) stock factors
Stars: ✭ 2,130 (+14100%)
five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
Stars: ✭ 41 (+173.33%)
PyRatesOpen-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.
Stars: ✭ 33 (+120%)
Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (+1073.33%)
machine-learning-capstone-projectThis is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning
Stars: ✭ 28 (+86.67%)
A-Detector⭐ An anomaly-based intrusion detection system.
Stars: ✭ 69 (+360%)
polystoresA library for performing hyperparameter optimization
Stars: ✭ 48 (+220%)
Fashion RecommendationA clothing retrieval and visual recommendation model for fashion images.
Stars: ✭ 193 (+1186.67%)
WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (+1286.67%)
Awkward 1.0Manipulate JSON-like data with NumPy-like idioms.
Stars: ✭ 203 (+1253.33%)
dstoolboxTools that make working with scikit-learn and pandas easier.
Stars: ✭ 43 (+186.67%)
gcf-packsLibrary packs for google cloud functions
Stars: ✭ 48 (+220%)
EngeznyEngezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.
Stars: ✭ 25 (+66.67%)
spyndexAwesome Spectral Indices in Python.
Stars: ✭ 56 (+273.33%)
skippaSciKIt-learn Pipeline in PAndas
Stars: ✭ 33 (+120%)
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (+193.33%)
datasets🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Stars: ✭ 13,870 (+92366.67%)
DS-Cookbook101A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
Stars: ✭ 59 (+293.33%)
onelinerhub2.5k code solutions with clear explanation @ onelinerhub.com
Stars: ✭ 645 (+4200%)
Information-RetrievalInformation Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Stars: ✭ 103 (+586.67%)
valinvestA value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts
Stars: ✭ 84 (+460%)
saddleSADDLE: Scala Data Library
Stars: ✭ 23 (+53.33%)
visionsType System for Data Analysis in Python
Stars: ✭ 136 (+806.67%)
TaTechnical Analysis Library using Pandas and Numpy
Stars: ✭ 2,649 (+17560%)
neworderA dynamic microsimulation framework for python
Stars: ✭ 15 (+0%)
SciCompforChemistsScientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
Stars: ✭ 65 (+333.33%)
Python-campNo description or website provided.
Stars: ✭ 34 (+126.67%)
gcpyPython toolkit for GEOS-Chem.
Stars: ✭ 34 (+126.67%)