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.

Consumindo dados da API do Youtube, analisando com Pandas Profiling e salvando no Google Cloud Storage

Predict if Customer ' ll Leave Bank or Not

Uncover the factors that lead to employee attrition at IBM

Read protected excel(multiple sheets) with password and perform EDA.

This is basically a binary classification problem where a person is classified into the >50K group or <=50K group.

🔎📊 Data Profiler app made with Streamlit and Pandas Profiling

This repository shows the use of module pandas_profiling to automate the work for Exploratory Data Analysis.

Creating Profile Report with Pandas Profiling

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

Using pandas-profiling to get summary of a dataset for Exploratory data analysis(EDA).

Estimation of Obesity Levels

Prediction For Success of Worldwide Terrorist Attacks

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.