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Top 8 statsmodels open source projects
Mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
✭ 2,308
python
javascript
cython
C++
shell
c
machine-learning
pytorch
tensorflow
numpy
pandas
scikit-learn
xgboost
tensor
dataframe
lightgbm
dask
ray
statsmodels
joblib
M2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
✭ 1,962
python
java
powershell
dart
rust
Visual Basic .NET
machine-learning
scikit-learn
xgboost
lightning
lightgbm
statistical-learning
statsmodels
Practical Machine Learning With Python
Master 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.
✭ 1,868
Jupyter Notebook
jupyter-notebook
deep-learning
machine-learning
tensorflow
computer-vision
keras
natural-language-processing
convolutional-neural-networks
jupyter
classification
pandas
scikit-learn
clustering
notebook
spacy
time-series-analysis
nltk
prophet
statsmodels
sclblpy
Python package for Scailable uploads
✭ 18
python
Jupyter Notebook
machine-learning
deployment
statsmodels
tests-as-linear
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
✭ 64
HTML
Jupyter Notebook
python
scipy
statistical-tests
statsmodels
linear-models
tsa-tutorial
Material for the tutorial, "Time series analysis with pandas" at T-Academy
✭ 21
Jupyter Notebook
pandas
statsmodels
time-series-analysis
ml-time-series-analysis-on-sales-data
Time Series Decomposition techniques and random forest algorithm on sales data
✭ 34
Jupyter Notebook
sales
sklearn
seaborn
machinelearning
statsmodels
datamining
time-series-analysis
regression-trees
sales-forecasting
time-series-decomposition
A-B-testing-with-Machine-Learning
Implemented an A/B Testing solution with the help of machine learning
✭ 37
Jupyter Notebook
sklearn
xgboost
statsmodels
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