Mouneshgouda

Deep-learning

This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dropout regularization, and deep neural networks. These notebooks offer practical implementations and insights for improving model training

Emotion-based-Music-Player-

"Emotion-based-Music-Player" is a unique project designed to enhance music listening experiences. By analyzing user emotions, this player dynamically selects music tracks that match the user's mood. Through innovative algorithms, it tailors playlists to evoke desired emotional responses, offering a personalized journey through music.

Fashion-MNIST-SVM

fraud-detection-of-credit-card-

House_Rent

Machine_Learning

ChatGPT This repository features a diverse set of resources covering essential topics in machine learning and data analysis. From understanding and visualizing confusion matrices to exploring feature selection techniques and addressing multicollinearity, it offers comprehensive insights into model evaluation and feature engineering. Additionally

Mouneshgouda

MouneshGouda-

Real-Time-Face-Emotion-Detection-Application

"Real-Time-Face-Emotion-Detection-Application" is a publicly available project aimed at detecting facial expressions in real-time. Leveraging advanced computer vision techniques, it accurately identifies emotions such as happiness, sadness, anger, and surprise from live video feeds. With its intuitive interface,

Top-10-AI-Projects

This repository curates a collection of the top 10 artificial intelligence projects from various domains. From cutting-edge research to practical applications, these projects showcase the latest advancements in AI technology.

Mouneshgouda/Top-10-AI-Projects

This repository curates a collection of the top 10 artificial intelligence projects from various domains. From cutting-edge research to practical applications, these projects showcase the latest advancements in AI technology.

Mouneshgouda/Machine_Learning

ChatGPT This repository features a diverse set of resources covering essential topics in machine learning and data analysis. From understanding and visualizing confusion matrices to exploring feature selection techniques and addressing multicollinearity, it offers comprehensive insights into model evaluation and feature engineering. Additionally

Mouneshgouda/MouneshGouda-

Mouneshgouda/Mouneshgouda

Mouneshgouda/Real-Time-Face-Emotion-Detection-Application

"Real-Time-Face-Emotion-Detection-Application" is a publicly available project aimed at detecting facial expressions in real-time. Leveraging advanced computer vision techniques, it accurately identifies emotions such as happiness, sadness, anger, and surprise from live video feeds. With its intuitive interface,

Mouneshgouda/Deep-learning

This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dropout regularization, and deep neural networks. These notebooks offer practical implementations and insights for improving model training

Mouneshgouda/Emotion-based-Music-Player-

"Emotion-based-Music-Player" is a unique project designed to enhance music listening experiences. By analyzing user emotions, this player dynamically selects music tracks that match the user's mood. Through innovative algorithms, it tailors playlists to evoke desired emotional responses, offering a personalized journey through music.

Mouneshgouda/House_Rent

Mouneshgouda/fraud-detection-of-credit-card-

Mouneshgouda/Fashion-MNIST-SVM

Mouneshgouda/Data-Analysis-of-Job-Portal-in-machine-learning-in-Python

Mouneshgouda/Impact-of-Medication-for-Lifestyle-Diseases-on-Hospital-Readmission

Mouneshgouda/Insurance-claim

Prediction of Auto Insurance Claim detection • Problem statement is related is to insurance domain • Performed a key role in Machine learning : Data gathering, cleaning ,Feature engineering ,Feature Selection ,Data visualization Model building ,Hyper parameter tunning • It’s a Classification problem evaluated model using confusion matrix and model

Mouneshgouda/Back-Office-Digitalization

Mouneshgouda/Learn_DSA

This repository explores fundamental data structures and their implementations. Learn how to organize and manipulate data efficiently for various programming tasks. (Feel free to add your specific focus areas here, e.g., algorithms, interview prep)

Mouneshgouda/mounesh.github.io

Mouneshgouda/Python_Tutorial

Python is a high-level, interpreted programming language known for its simplicity and readability.Python emphasizes code readability and allows programmers to express concepts in fewer lines of code compared to languages like C++ or Java.