siddharthiyervarma

-DeepSonar_Classifier-

The primary objective of this project is to design and train a deep neural network that can generalize well to new, unseen data, effectively distinguishing between rocks and metal cylinders based on the sonar chirp returns.

Amazon-Employee-Access

Automated-Pneumonia-Predicter

This project focuses on leveraging deep learning techniques to predict lung disease, specifically pneumonia, from chest X-ray images.

awesome-generative-ai_ideas

A curated list of modern Generative Artificial Intelligence projects and services

Bank-Note-Classification

This project focuses on the classification of banknotes using various supervised machine learning models. The primary objective is to develop a robust system that can accurately distinguish between genuine and counterfeit banknotes based on a set of features.

Bigmart-Price-Prediction-

Car-calssification-using-PCA-

CNN-MNIST

The aim was to develop a robust Convolutional Neural Network (CNN) for accurately classifying handwritten digits from the MNIST dataset

Compressive-Strength-of-Concrete

Live_Covid_Report_Berlin

Develop a dynamic COVID-19 dashboard for Berlin districts, providing daily updates on key metrics like 7-day-incidence, rolling averages, and raw case counts. Users can compare specific districts using official Berlin government data from berlin.de, offering a user-friendly tool for monitoring district-level COVID-19 trends in Berlin.

siddharthiyervarma/-DeepSonar_Classifier-

The primary objective of this project is to design and train a deep neural network that can generalize well to new, unseen data, effectively distinguishing between rocks and metal cylinders based on the sonar chirp returns.

siddharthiyervarma/Amazon-Employee-Access

siddharthiyervarma/Automated-Pneumonia-Predicter

This project focuses on leveraging deep learning techniques to predict lung disease, specifically pneumonia, from chest X-ray images.

siddharthiyervarma/awesome-generative-ai_ideas

A curated list of modern Generative Artificial Intelligence projects and services

siddharthiyervarma/Bank-Note-Classification

This project focuses on the classification of banknotes using various supervised machine learning models. The primary objective is to develop a robust system that can accurately distinguish between genuine and counterfeit banknotes based on a set of features.

siddharthiyervarma/Bigmart-Price-Prediction-

siddharthiyervarma/Car-calssification-using-PCA-

siddharthiyervarma/CNN-MNIST

The aim was to develop a robust Convolutional Neural Network (CNN) for accurately classifying handwritten digits from the MNIST dataset

siddharthiyervarma/Compressive-Strength-of-Concrete

siddharthiyervarma/Live_Covid_Report_Berlin

Develop a dynamic COVID-19 dashboard for Berlin districts, providing daily updates on key metrics like 7-day-incidence, rolling averages, and raw case counts. Users can compare specific districts using official Berlin government data from berlin.de, offering a user-friendly tool for monitoring district-level COVID-19 trends in Berlin.

siddharthiyervarma/Breast-cancer

ML project Detcting Canverous Cells

siddharthiyervarma/Loan-Approval-Prediction

leverage decision tree-based models for predicting credit approval.

siddharthiyervarma/Mcq_Generator

siddharthiyervarma/siddharthiyervarma

siddharthiyervarma/thewhiteh4t

siddharthiyervarma/Web_Scarping_book_store

Introduction: The "Bookstore Analytics" project involves the analysis of a dataset containing information about books available in an online bookstore. A web scraping application was build for this