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