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Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization

  • Updated Dec 5, 2023
  • Jupyter Notebook

This repository contains a weather application developed as part of a Coursera course. The app fetches and displays real-time weather information for different locations using an API. It's built with JavaScript, HTML, and CSS and demonstrates key web development concepts such as API integration, responsive design, and dynamic UI.

  • Updated Jan 4, 2025
  • HTML

Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression).

  • Updated Aug 13, 2020
  • Jupyter Notebook

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