Welcome to the project repository! This repository contains multiple projects with a focus on data analysis and machine learning. Below is an overview of the structure and contents of the repository.
This project aims to classify breast cancer data to determine whether a tumor is benign or malignant using various machine learning techniques.
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Metadata: Detailed information about the dataset can be found in the METADATA.md file.
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Data: The dataset used in this project is stored in data.csv.
This project involves analyzing salary data and building predictive models to forecast salaries based on different factors.
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Notebooks: The main analysis and model building are documented in the analysis.ipynb notebook.
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Data: The dataset for this project is stored in salary_data.csv.
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Functions: Reusable functions for data wrangling, plotting, and machine learning are stored in the
functionsdirectory. -
Models storage for built Neural Network models is located in the
temp/modeldirectory. Currently, it contains. The saved Keras model (.keras) for salary prediction. It is pretty small due to the reduced size of the dataset.
Marcello Beltrami, MIT License