Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+495.31%)
Enterprise gatewayA lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.
Stars: ✭ 412 (+543.75%)
Jupyter pivottablejsDrag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Stars: ✭ 428 (+568.75%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+392.19%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+600%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+34350%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+609.38%)
Python Ml CourseCurso de Introducción a Machine Learning con Python
Stars: ✭ 442 (+590.63%)
Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Stars: ✭ 530 (+728.13%)
Course V3The 3rd edition of course.fast.ai
Stars: ✭ 4,785 (+7376.56%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (+737.5%)
D2l PytorchThis project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Stars: ✭ 3,810 (+5853.13%)
TedsdsApache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark
Stars: ✭ 14 (-78.12%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+773.44%)
Datasets For Recommender SystemsThis is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Stars: ✭ 564 (+781.25%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-68.75%)
Mlnet WorkshopML.NET Workshop to predict car sales prices
Stars: ✭ 29 (-54.69%)
Fastai2Temporary home for fastai v2 while it's being developed
Stars: ✭ 630 (+884.38%)
FeatexpFeature exploration for supervised learning
Stars: ✭ 688 (+975%)
ScriptisScriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis.
Stars: ✭ 696 (+987.5%)
Industry Machine LearningA curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Stars: ✭ 6,077 (+9395.31%)
Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Stars: ✭ 750 (+1071.88%)
ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (+446.88%)
MdsModern Data Science
Stars: ✭ 19 (-70.31%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1418.75%)
Tiledb VcfEfficient variant-call data storage and retrieval library using the TileDB storage library.
Stars: ✭ 26 (-59.37%)
Live log analyzer sparkSpark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.
Stars: ✭ 14 (-78.12%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+12914.06%)
Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
Stars: ✭ 21 (-67.19%)
Sparkling TitanicTraining models with Apache Spark, PySpark for Titanic Kaggle competition
Stars: ✭ 12 (-81.25%)
Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (-53.12%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+1250%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-54.69%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-45.31%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+1434.38%)
SkdataPython tools for data analysis
Stars: ✭ 16 (-75%)
Ntds 2017Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Stars: ✭ 61 (-4.69%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-34.37%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+12734.38%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-23.44%)
Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
Stars: ✭ 1,004 (+1468.75%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (-21.87%)
MetrotwitterWhat Twitter reveals about the differences between cities and the monoculture of the Bay Area
Stars: ✭ 52 (-18.75%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+1559.38%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-17.19%)
Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Stars: ✭ 8,263 (+12810.94%)