gusbruschi13
Economist and Data Scientist Currently working at Vybrant (Dell). Machine Learning, Econometrics, Causal Inference, Python, SQL, Spark, R, Cloud.
Vybrant (Dell Technologies)São Paulo (SP) - Brazil
gusbruschi13's Stars
Universidade-Livre/ciencia-da-computacao
🎓 Um caminho para a educação autodidata em Ciência da Computação!
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
holoviz/panel
Panel: The powerful data exploration & web app framework for Python
awslabs/gluonts
Probabilistic time series modeling in Python
AileenNielsen/TimeSeriesAnalysisWithPython
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
tdpetrou/Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
paiml/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
cesium-ml/cesium
Machine Learning Time-Series Platform
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
henrikbostrom/crepes
Python package for conformal prediction
DynamicsAndNeuralSystems/catch22
catch22: CAnonical Time-series CHaracteristics
MBrouns/timeseers
Time should be taken seer-iously
john-science/scipy_con_2019
Tutorial Sessions for SciPy Con 2019
forrestbao/pyeeg
Python + EEG/MEG = PyEEG
PacktPublishing/Applied-Machine-Learning-Explainability-Techniques
Applied Machine Learning Explainability Techniques, published by Packt
GokuMohandas/data-engineering
Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
trainindata/feature-engineering-for-time-series-forecasting
Code repository for the online course "Feature Engineering for Time Series Forecasting".
r5py/r5py
Rapid Realistic Routing with R5 in Python
gautham20/pytorch-ts
Tutorials on using encoder decoder architecture for time series forecasting
lselector/seminar
vinyluis/Articles
References to the Medium articles
DynamicsAndNeuralSystems/pycatch22
python implementation of catch22
h3ik0th/TFT_darts
probabilistic forecasting with Temporal Fusion Transformer
SimonOuellette35/Introduction_to_PyMC3
DAMO-DI-ML/KDD2022-Tutorial-Time-Series
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
JTHaywardGDD/time-series
rtkilian/data-science-blogging
A collection of code used in my Data Science blogging.