Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (-11.66%)
Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-93.36%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-88.29%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+66.9%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+385.37%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (-42.54%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-90.5%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (-84.09%)
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (-23.95%)
Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (-74.59%)
Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
Stars: ✭ 530 (-69.11%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (-68.76%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-94.76%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+588.69%)
SkdataPython tools for data analysis
Stars: ✭ 16 (-99.07%)
Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
Stars: ✭ 23 (-98.66%)
100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Stars: ✭ 1,382 (-19.46%)
BoltzmanncleanFill missing values in Pandas DataFrames using Restricted Boltzmann Machines
Stars: ✭ 23 (-98.66%)
ResourcesPyMC3 educational resources
Stars: ✭ 930 (-45.8%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (-49.71%)
Jupyter pivottablejsDrag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Stars: ✭ 428 (-75.06%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (-73.54%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-67.42%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (-68.47%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (-22.03%)
DataframeC++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
Stars: ✭ 828 (-51.75%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (-58.97%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-94%)
Python Data Science HandbookA Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
Stars: ✭ 102 (-94.06%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-98.31%)
Data Forge TsThe JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
Stars: ✭ 967 (-43.65%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+364.04%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-93.65%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-98.83%)
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Stars: ✭ 35 (-97.96%)
Janitorsimple tools for data cleaning in R
Stars: ✭ 981 (-42.83%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+378.67%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-97.96%)
SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+7.87%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-95.98%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (-93.41%)
Pydata Pandas WorkshopMaterial for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
Stars: ✭ 65 (-96.21%)
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 (-29.84%)