Developer-first embedded analytics

Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.

NLP based Twitter data sentiment analysis project

Explore my movie-watching habits through this analysis of my Letterboxd diary, enhanced with TMDb API data. Visualized insights using Python and Tableau.

Always know what to expect from your data.

GitHub project (Project 3) repository for Python Data Science Nano Degree

Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown

An open educational resource to teach a workshop on Exploratory Data Analysis in R

Project of deploying ML and MLOps

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras

Comprehensive notes and code on Python, data analysis, visualization, machine learning, and deep learning from my data science learning journey.

This repository is a collection of code, documentation, and other resources that support the management and automation of a Data Science project.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

End-to-end EDA project on an online customer activity dataset from a multinational retail company. Includes ELT pipeline to extract data from AWS RDS, EDA with python and a full business report with insights and recommendations.

A Simplilearn class project practicing machine learning classification algorithms.

Material from my Data Science Learning. EDA and ML (soon) projects . || Material do meu Aprendizado de Ciência de Dados. Projetos de EDA e ML(em breve).

Explored Heart Failure Prediction Dataset and performed Classification and Clustering on the data using R.

Classifying Criminal Offenses: Classification Application in Python Using scikit-learn and TensorFlow-Keras