Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-39.5%)
Knet.jlKoç University deep learning framework.
Stars: ✭ 1,260 (+958.82%)
Ntds 2017Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Stars: ✭ 61 (-48.74%)
YaboxYet another black-box optimization library for Python
Stars: ✭ 103 (-13.45%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-33.61%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-19.33%)
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 (-14.29%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-50.42%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-42.02%)
Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
Stars: ✭ 1,212 (+918.49%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (-34.45%)
JupytemplateTemplates for jupyter notebooks
Stars: ✭ 85 (-28.57%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+7389.08%)
Ds With PysimpleguiData science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
Stars: ✭ 93 (-21.85%)
ModelsDLTK Model Zoo
Stars: ✭ 101 (-15.13%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+1024.37%)
KriskStatistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.
Stars: ✭ 111 (-6.72%)
AlgocodeWelcome everyone!🌟 Here you can solve problems, build scrappers and much more💻
Stars: ✭ 113 (-5.04%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-52.94%)
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 (-4.2%)
Etl with pythonETL with Python - Taught at DWH course 2017 (TAU)
Stars: ✭ 68 (-42.86%)
W2vWord2Vec models with Twitter data using Spark. Blog:
Stars: ✭ 64 (-46.22%)
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 (+911.76%)
NotebooksA collection of Jupyter/IPython notebooks
Stars: ✭ 78 (-34.45%)
SuspeitandoProjeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.
Stars: ✭ 76 (-36.13%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-31.93%)
Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-27.73%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-55.46%)
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+996.64%)
Sci PypeA Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Stars: ✭ 90 (-24.37%)
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+1057.98%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+9831.09%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-13.45%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-24.37%)
Python BigdataData science and Big Data with Python
Stars: ✭ 112 (-5.88%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-8.4%)
Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
Stars: ✭ 113 (-5.04%)
Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Stars: ✭ 8,263 (+6843.7%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+792.44%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (-5.04%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+1173.95%)