Collection of scripts and utilities for stock market analysis, strategies etc
In this repository, we would see different available libraries for Exploratory Data Analysis
EDA made easy with auto EDA tools like DTALE, this repo helps in integrating DTALE with Django web applications
Notes and practice on Python with libraries like Pandas, NumPy, Matplotlib, and Seaborn, plus small projects to deepen understanding.
Process mining techniques for analyzing business processes and make them more efficient
Obiettivo dell'analisi è effettuare una analisi delle fantamedie dei giocatori di serie A utilizzando i dati storici degli ultimi 5 anni con la finalità di ottenere insight interessanti che possano guidare il fantallenatore durante l'asta
This repository showcases tools for automatic Exploratory Data Analysis (EDA) in Python. These tools help you quickly understand your datasets and generate insightful reports.
Automated Exploratory Data Analysis (EDA) using Python, Pandas, AutoViz, DataPrep, D-Tale, and Plotly. Includes data validation, cleaning, visualization, and automated EDA reports on a Nepal environmental dataset.
Data analysis project developed in Python aimed at identifying where accidents happen in Italy
Creating quick visualizations and summary statistics using python
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