A series of notebooks focused on visualizing data and results. These notebooks were used in the "Data and Results Visualization" course at Politecnico di Milano.
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Updated
Oct 9, 2020 - Jupyter Notebook
A series of notebooks focused on visualizing data and results. These notebooks were used in the "Data and Results Visualization" course at Politecnico di Milano.
This repo contains Jupiter notebooks of some popular mathematics theorems.
Personal projects about some of the things I love in statistics and RL.
Projeto de Análise de Dados de uma empresa de telecomunicação que perdeu mais de 26% de seus clientes
The 2019–20 coronavirus pandemic was confirmed to have reached Pakistan on 26 February 2020, when a student in Karachi tested positive upon returning from Iran. By 18 March, cases had been registered in all four provinces, the two autonomous territories, and the federal territory of Islamabad. The dataset is completely acquired from NIH Publicat…
Practical Introduction to Data Science with Python
Context Climate change is affecting the world and Pakistan is no different. This is a one of its kind dataset for the average temperature in the country for the last 116 years.
Repositório para estudos sobre machine learning
data mining of IPL season 2021 using API data ...
solutions for stackoverflow questions
P.h.D. course on "Complex Network Analysis" @ Universitat Autònoma de Barcelona (2022)
A showcase repository for a specific telecommunication company. Used to analyze several telecommunication data set features and generate useful insights accordingly. Insights generated could be seen at https://github.com/Fisseha-Estifanos/telecom-visualizer or at https://fisseha-estifanos-telecom-visualizer-home-huxgy0.streamlitapp.com/
Jupyter notebooks related to open data, budgets, procurement, text processing and other Russia/Russian related data
Practice/Notes of Machine Learning
Datasets and analysis of Dungeons & Dragons 5th Edition spells.
The repository hosts the code, data, and other artefacts for the paper "Survival analysis for user disengagement prediction: question-and-answering communities' case", available here: https://rdcu.be/cSl24
Everything related to 3-1
The fastai book, published as Jupyter Notebooks
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