Open source project for data preparation of LLM application builders

This project is my personal project about Marketing Campaign using dataset from Big Tech Company provided by Rakamain Academy. I created Clustering Model with Python (Sklearn) to get best model from the dataset that can used for arrange their next marketing strategic planning.

Prepping tables for machine learning

This project predicts MBTI personality types from users' recent 50 posts using NLP and ML techniques.

Analytics for a leading Brazilian E-commerce firm, Olist Store

Multiple models for binary classification and checking the accuracy with each model.

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Main Repository

Diwali-Sales-Analysis-Project

In this project I predict the 2016 MLS season using historical data and Poisson regression. The project includes cleaning, preprocessing and analyzing the dataset, building and evaluating predictive models for match outcomes, forecasting team performance and simulating the league table. It uses Pandas, Numpy, MatPlotLib and StatsModel libraries.

Minha resolução para um teste prático de uma vaga de Analytics Engineer Júnior

This project will focus on data preparation and will follow the steps : data cleaning, handling text and categorical attributes, and feature scaling.

Un cours pour apprendre à construire des interactions homme-données

A simple website to label images for classification locally.

ABAP unit testing framework, prepare in Excel, reuse in abap code

In this project, I have predicted Income between two categories based on an individual's demographic and employment details using Logistic regression.

A tool to streamline AI image captioning

An analysis of employee turnover for a given 12-month period

An analysis of some trends in hotel KPIs

This Dataiku DSS plugin provides visual recipes to perform resampling, windowing, interval extraction, extrema extraction, and decomposition on time series data.