Exploratory data analysis and modelling for a dataset that contains questions that couples who got divorced and stayed together answered using Python, pandas, pandas profiling and Scikit learn.
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Updated
May 15, 2023 - Jupyter Notebook
Exploratory data analysis and modelling for a dataset that contains questions that couples who got divorced and stayed together answered using Python, pandas, pandas profiling and Scikit learn.
This app allows you to upload a CSV file, generate a Pandas Profiling report, and download the report in HTML format.
Read protected excel(multiple sheets) with password and perform EDA.
🔎📊 Data Profiler app made with Streamlit and Pandas Profiling
Consumindo dados da API do Youtube, analisando com Pandas Profiling e salvando no Google Cloud Storage
Predict if Customer ' ll Leave Bank or Not
This repository shows the use of module pandas_profiling to automate the work for Exploratory Data Analysis.
Detect Strength of Passwords
Used Gaussian Naive Bayes Classifier and XG Boost Classifier for Credit Card Fault Detection
A short demonstration using PyCaret to tackle transaction fraud.
Analisis practico del Dataset y las Herramientas necesarias para Implementar un Modelo de Machine Learning
My first classification problem solved with logistic regression.
Pandas Profiling
Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling
The purpose is to understand whether it is possible to predict the risk of an accident based on the historical data of one of the regions. The project implemented an analysis of the main factors of an accident using SQL, LightGBM, Seaborn, Matplotlib, etc.
This is the code for a Django website where you can upload csv/xls files and perform classification on it using Scikit-learn library.
A basic EDA on Covid-19 dataset using Pandas Profiling
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