Davityak03

Animal-Classification-using-different-kinds-of-Machine-learning-Algos

5 different kinds of machine learning alorithms has been used for the classfication of the animals and have been compared with each other

Animal-Image-Classification-using-cnn

Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.

ANN-for-Regression

Bank-loan-Approval-using-ml

Using ml Algorithm to predict if bank loan application will be approved or not

Basics-Of-Python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

Credit-Card-Fraud-Detection

Customer-Churn-Model-using-ANN

Customer-segmentation

Project focuses on customer segmentation using the marketing_campaign.csv dataset. The objective is to identify distinct customer groups through clustering techniques, aiding in personalized marketing strategies.

English-audio-to-Hindi-text-using-Pretrained-Model

The primary goal of this project is to transcribe English audio and then translate the transcribed text into Hindi.

Transformers-for-NLP

Davityak03/Animal-Image-Classification-using-cnn

Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.

Davityak03/ANN-for-Regression

Davityak03/Basics-Of-Python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

Davityak03/Credit-Card-Fraud-Detection

Davityak03/Customer-Churn-Model-using-ANN

Davityak03/Customer-segmentation

Project focuses on customer segmentation using the marketing_campaign.csv dataset. The objective is to identify distinct customer groups through clustering techniques, aiding in personalized marketing strategies.

Davityak03/English-audio-to-Hindi-text-using-Pretrained-Model

The primary goal of this project is to transcribe English audio and then translate the transcribed text into Hindi.

Davityak03/english-to-french-model

Davityak03/Ensemble-modelling

This repository contains a comprehensive guide and implementation of ensemble modeling techniques, specifically focusing on Boosting, Bagging, and Voting. Ensemble methods are powerful techniques in machine learning that combine the predictions from multiple models to improve overall performance and robustness.

Davityak03/Hospital-Management-System

Davityak03/html-css-js

Davityak03/Iris-ml-classification-model-for-Beginners-

Machine learning model used to predict the species of the iris flower

Davityak03/Transformers-for-NLP

Davityak03/Davityak03

Davityak03/Fake-news-classifier

Davityak03/Fashion-Mnist-Cnn-model-optimized-using-keras-tuner

Davityak03/leaarn-git

a test to learn git

Davityak03/Machine-learning-and-Analysis-Training

Davityak03/NLP-Bag-of-Words-and-TF-IDF

Davityak03/Object-Detection-and-Recognition

Davityak03/Object-Detection-in-Images-using-YOLO

This project demonstrates object detection using the YOLO (You Only Look Once) model, providing a solution for detecting and labeling multiple objects within images or video streams. This implementation covers image preprocessing, model inference, and visualization of detected objects.

Davityak03/OOPS-in-Python

Davityak03/Power-Bi-Learning-

Davityak03/Programming-in-R

Davityak03/Random-Forest-Ensemble-Technique

Davityak03/Sentence-Paraphraser-Checker-using-Transformers

This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.

Davityak03/Stock-value-prediction-and-forecasting

This project predicts stock market trends using an LSTM neural network, focusing on Apple Inc.'s historical data for accurate future price forecasting. It includes data retrieval, preprocessing, model training, and evaluation.

Davityak03/SVM-ML-model-using-different-types-of-kernels-

I have implemented support vector machine classifier on the same dataset but using different kernels and have compared their accuracies with each other

Davityak03/Time-series

Davityak03/Word-Embedding