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Data science toolbox

A list of tools used in previous projects. Of course, every project is unique with its specific needs, and new innovative tools appear rapidly. Please feel free to suggest your own tools.
Activity
Tool
Data & image processing
Python Pandas, Numpy, Scipy, PIL, OpenCV, Albumentations, R, Matlab
Machine learning
Scikit-learn logistic regression, random forest, gradient boosting; time-series forecasting using ARIMA, LSTM, Prophet
Computer vision
Keras with backend TensorFlow, PyTorch,
Image classification and regression: CNN -- basic architecture to more complex such as EfficientNet, SwinTransformer.
Object detection: Yolo, R-CNN,

Deployment and dashboards
Flask, Curl, FastAPI, Gradio, Streamlit, Dash
Visualization
Plotly, Matplotlib, Bokeh, GGplot, Seaborn, Grafana
Big data, databases and ETL
Spark, Dask, H2O, PostgreSQL
Cloud
Amazon Webservices, Sagemaker (AWS), Google Cloud Platform, Hidora
OS & development platforms
Linux, Docker, GitHub
Communication
Slack, Google Meet, Jupyter notebook, Spyder, R Studio
Picture
Picture
Picture
Ruthger Righart
Ferney-Voltaire
France

Email: rrighart at googlemail dot com
Tel.: 0033 (0)770071310

Immatriculation au Registre du Commerce et des Sociétés: 833 982 358 R.C.S. Bourg-en-Bresse. Greffe du Tribunal de Commerce, 32 Av Alsace Lorraine, 01011 Bourg-en-Bresse Cedex.
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