Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+11585%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (+75%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (+180%)
GeopythonNotebooks and libraries for spatial/geo Python explorations
Stars: ✭ 268 (+1240%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+10885%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+39715%)
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 (+159875%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (+1335%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+2695%)
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 (+40%)
LanternData exploration glue
Stars: ✭ 292 (+1360%)
Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
Stars: ✭ 1,212 (+5960%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (+350%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+1625%)
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 (+110140%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (+45%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+1805%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+5210%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+9240%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+7480%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (+715%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (+415%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+41545%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+870%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (+905%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+3420%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+14340%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (+940%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+12285%)
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 (+940%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (+990%)
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 (+65900%)
Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
Stars: ✭ 205 (+925%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+1000%)
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (+165%)
astetikAstetik takes away the pain from telling visual stories with data on Python
Stars: ✭ 15 (-25%)
LuxPython API for Intelligent Visual Data Discovery
Stars: ✭ 787 (+3835%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+14220%)
GophernotesThe Go kernel for Jupyter notebooks and nteract.
Stars: ✭ 3,100 (+15400%)
FoxcrossAsyncIO serving for data science models
Stars: ✭ 18 (-10%)
TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+15855%)
Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Stars: ✭ 294 (+1370%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+16170%)
YellowbrickVisual analysis and diagnostic tools to facilitate machine learning model selection.
Stars: ✭ 3,439 (+17095%)
ZatZeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
Stars: ✭ 303 (+1415%)