A fully-featured batteries-included Neovim distribution for the world of Data Science. Prepared to run code and interact with Jupyter Notebooks without ever leaving your terminal.
Mon Notebook sur les fondamentaux du Machine Learning
A collection of Jupyter Notebook exercises covering key statistical concepts for Data Science, featuring interactive visualizations and real-world datasets.
📓 Simulation exercises access point for result extraction which can be used in modeling and theoretical approach of molecular and atomic processes.
A coursework-based repository under the guidance of Prof. Ratnakar Dash, focusing on implementing machine learning algorithms, data preprocessing, model evaluation, and hyperparameter tuning. Includes Jupyter notebooks with hands-on experiments.
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