Python Data Science Handbook: full text in Jupyter Notebooks
Jupyter Notebook
Updated Apr 23, 2019
scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
-
- Sign up for GitHub or sign in to edit this page
- Created by David Cournapeau
- Released January 05, 2010
- Latest release 2 months ago
Repositories 2,260
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …
tensorflow
scikit-learn
machine-learning
python
deep-learning
neural-network
ml
distributed
jupyter-notebook
Jupyter Notebook
Updated Apr 23, 2019
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
fp-growth
apriori
mahchine-leaning
naivebayes
svm
adaboost
kmeans
svd
pca
logistic
regression
recommendedsystem
sklearn
scikit-learn
nlp
deeplearning
python
dnn
lstm
rnn
Python
Updated Apr 30, 2019
Your new Mentor for Data Science E-Learning.
The "Python Machine Learning (1st edition)" book code repository and info resource
machine-learning
machine-learning-algorithms
logistic-regression
data-science
data-mining
python
scikit-learn
neural-network
Jupyter Notebook
Updated Jan 28, 2019
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
machine-learning
data-science
scikit-learn
ipython-notebook
deep-learning
jupyter-notebook
python
courses
learning
learning-by-doing
diy
Updated Mar 28, 2019
Open Neural Network Exchange
deep-learning
deep-neural-networks
neural-network
onnx
pytorch
mxnet
tensorflow
keras
scikit-learn
ml
chainer
machine-learning
dnn
PureBasic
Updated May 1, 2019
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning
python
data-science
automl
automation
scikit-learn
hyperparameter-optimization
model-selection
parameter-tuning
automated-machine-learning
random-forest
gradient-boosting
feature-engineering
xgboost
Python
Updated Apr 19, 2019
Open Machine Learning Course
machine-learning
data-analysis
data-science
pandas
algorithms
numpy
scipy
matplotlib
seaborn
plotly
scikit-learn
kaggle-inclass
vowpal-wabbit
python
ipynb
docker
math
Python
Updated Apr 30, 2019
Visualizer for deep learning and machine learning models
neural-network
deep-learning
machine-learning
deeplearning
machinelearning
ai
ml
visualizer
onnx
keras
tensorflow
tensorflow-lite
coreml
caffe
caffe2
mxnet
pytorch
scikit-learn
torch
paddle
JavaScript
Updated Apr 30, 2019
An open source python framework for automated feature engineering
The "Python Machine Learning (2nd edition)" book code repository and info resource
Jupyter Notebook
Updated Mar 23, 2019
Automated Machine Learning with scikit-learn
Jupyter notebooks from the scikit-learn video series
Jupyter Notebook
Updated Jan 4, 2019
A scikit-learn compatible neural network library that wraps pytorch
Visual analysis and diagnostic tools to facilitate machine learning model selection.
machine-learning
visual-analysis
model-selection
visualization
scikit-learn
visualizer
matplotlib
python
estimator
anaconda
Python
Updated Apr 30, 2019
HTML
Updated Apr 18, 2019
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…
machine-learning
deep-learning
tensorflow
python
pytorch
keras
lua
matplotlib
aws
kaggle
pandas
scikit-learn
torch
artificial-intelligence
neural-network
convolutional-neural-networks
tensorflow-tutorials
python-data
ipython-notebook
capsule-network
Python
Updated Apr 22, 2019
Python Cheat Sheet NumPy, Matplotlib
An intuitive library to add plotting functionality to scikit-learn objects.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
General Assembly's 2015 Data Science course in Washington, DC
data-science
machine-learning
scikit-learn
data-analysis
pandas
jupyter-notebook
python
course
linear-regression
logistic-regression
model-evaluation
naive-bayes
natural-language-processing
decision-trees
ensemble-learning
clustering
regular-expressions
web-scraping
data-visualization
data-cleaning
Jupyter Notebook
Updated Apr 18, 2016
Transform ML models into a native code (Java, C, Python, Go) with zero dependencies
machine-learning
machine-learning-algorithms
machine-learning-library
scikit-learn
scikitlearn-machine-learning
statistical-learning
Python
Updated Apr 23, 2019
[UNMAINTAINED] Automated machine learning for analytics & production
machine-learning
data-science
automated-machine-learning
gradient-boosting
scikit-learn
python
machine-learning-pipelines
machine-learning-library
production-ready
automl
lightgbm
analytics
feature-engineering
hyperparameter-optimization
deep-learning
xgboost
keras
deeplearning
tensorflow
artificial-intelligence
Python
Updated Nov 1, 2018
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, …
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep …
machine-learning
deep-learning
python
text-analytics
classification
clustering
natural-language-processing
computer-vision
data-science
spacy
nltk
scikit-learn
prophet
time-series-analysis
convolutional-neural-networks
tensorflow
keras
statsmodels
pandas
deep-neural-networks
Jupyter Notebook
Updated Mar 11, 2019
PySpark + Scikit-learn = Sparkit-learn
Learn about scikit-learn
- Repository
- scikit-learn/scikit-learn
- Website
- scikit-learn.org
- Wikipedia
- Wikipedia