A Machine learning project on Cat v/s Dog image classification using CNN, VGG-16 and VGG-19 in Python
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Updated
Dec 31, 2022 - Jupyter Notebook
A Machine learning project on Cat v/s Dog image classification using CNN, VGG-16 and VGG-19 in Python
A Machine learning based approach on customer churn analysis in python.
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.
This project is a hands-on exploration of multiple regression modeling techniques applied to real-world challenges in the context of real estate. It aims to understand how different features influence house or property prices. By utilizing multiple regression models, the project provides insights, decision support, and enhances data science skills.
Module 21 Challenge
Examples of techniques that can be used to optimize neural network models (some techniques can apply more generally).
Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
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