Serialization and Model serialization.
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Updated
Mar 1, 2022 - Python
Serialization and Model serialization.
A fully modular end-to-end Machine Learning pipeline for Iris flower classification. Includes data preparation, scaling, model training, evaluation, performance comparison, and a CLI-based prediction system using Logistic Regression, Decision Tree, and SVC. Designed as a clean template for beginners to understand core ML workflow.
Robust CNN & CapsuleNet benchmarks for noisy images – modern TensorFlow 2/Keras 3 support.
IMDB API Clone which is used to review and add the movie ratings
Tech Challenge of the Postgraduate in Data Analytics, from FIAP, analyzing Brent Oil price data, in comparison with historical, economic and societal data, integrating correlation and causality analyzes of items with prices, as well as developing a model forecast and an importance analysis through information gain from a forest model (XGBoost)
The aim of this project is to predict the sales six weeks ahead across all the stores of the Rossman Pharmaceutical company using Machine and Deep Learning. The different factors affecting the sales are: promotions, competitions, school-state holiday, seasonality, and locality.
Sales forecasting and customer behavior analysis for Rossmann Pharmaceuticals using machine learning and deep learning techniques.
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