StldecomposeA Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
Stars: ✭ 130 (-35%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-73.5%)
Cvpr 2019 Paper StatisticsStatistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
Stars: ✭ 527 (+163.5%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-65.5%)
GeomstatsComputations and statistics on manifolds with geometric structures.
Stars: ✭ 498 (+149%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+4064.5%)
PycroscopyScientific analysis of nanoscale materials imaging data
Stars: ✭ 144 (-28%)
Data Science LearningRepository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Stars: ✭ 273 (+36.5%)
ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
Stars: ✭ 3,550 (+1675%)
NotesNotes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Stars: ✭ 710 (+255%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+431%)
Isl PythonPorting the R code in ISL to python. Labs and exercises
Stars: ✭ 108 (-46%)
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (-40.5%)
Book This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
Stars: ✭ 141 (-29.5%)
Glmm In PythonGeneralized linear mixed-effect model in Python
Stars: ✭ 131 (-34.5%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-15.5%)
Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (-10%)
FacetHuman-explainable AI.
Stars: ✭ 269 (+34.5%)
The Elements Of Statistical LearningMy notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Stars: ✭ 260 (+30%)
Basic Mathematics For Machine LearningThe motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Stars: ✭ 300 (+50%)
data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Stars: ✭ 52 (-74%)
Edward2A simple probabilistic programming language.
Stars: ✭ 419 (+109.5%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+90.5%)
EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+2237%)
scanstatisticsAn R package for space-time anomaly detection using scan statistics.
Stars: ✭ 41 (-79.5%)
Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (+254%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+391%)
HeliomlA book about machine learning, statistics, and data mining for heliophysics
Stars: ✭ 36 (-82%)
Embedded gcnnEmbedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Stars: ✭ 60 (-70%)
geostanBayesian spatial analysis
Stars: ✭ 40 (-80%)
HackermathIntroduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Stars: ✭ 1,380 (+590%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-52%)
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 (+6500%)
AppelpyApplied Econometrics Library for Python
Stars: ✭ 136 (-32%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-59.5%)
AulasAulas da Escola de Inteligência Artificial de São Paulo
Stars: ✭ 166 (-17%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (-22%)
ArsenalAn Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Stars: ✭ 171 (-14.5%)
Stanford Cs229Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
Stars: ✭ 151 (-24.5%)
DatascienceprojectsThe code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Stars: ✭ 223 (+11.5%)
KdepyKernel Density Estimation in Python
Stars: ✭ 244 (+22%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+502%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+998.5%)
ChoochooTraining Diary
Stars: ✭ 186 (-7%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-3%)