gvhemanth Goto Github PK

bike_sharing_linear_reg

Predicting the variables that effects the revenue of the bike sharing company after a serious drop-fall during the covid-19 pandemic.

chest-x-ray-effusion-detection-using-cnn-resnet

In this X-ray classification assignment, we built a deep learning model to classify chest X-ray images into "nofinding" and "effusion" classes. We tackled challenges like data augmentation, imbalanced classes, and used weighted cross-entropy to improve model performance. The goal was to identify abnormalities with high accuracy.

cnn--image-classification--melanoma

Skin Cancer Detection using CNN is a deep learning project that accurately detects melanoma. With a dataset of 2357 skin images, the model alerts dermatologists about melanoma presence, aiding in early detection. It showcases CNN's effectiveness in medical image analysis.

cnn-cats-vs-dogs-image-augmentation-

This project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images of cats and dogs.

eda-bank-loan-default-

To understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of loan applicant being defaulter.

face-mask-detection---yolo

Led development of custom YOLO-based object detector for precise face mask detection in images. Demonstrates expertise in computer vision, deep learning, AI, and image processing. Contributed to pandemic response tech with efficient, accurate model.

gesture-control---conv3d-rnn-lstm

Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN

gvhemanth

Config files for my GitHub profile.

high-memory-chat-gpt-3.5-turbo-chatbot-extension.

Developed a cutting-edge browser extension utilizing state-of-the-art language processing technology, including the renowned GPT 3.5 Turbo model. This extension enables users to engage in natural language conversations with an advanced chatbot, which utilizes machine learning algorithms to continuously learn and adapt to user behavior.

image-to-speech-generation_encoder-attention-decoder

This project aims to assist visually impaired individuals by providing a solution to convert images into spoken language. Leveraging deep learning and natural language processing, the system processes images, generates descriptive captions, and converts these captions into audio output.

ivy

The Unified Machine Learning Framework

lead-score-logreg-roc-precision_recall_tradeoff

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

predicting--house-prices---linear-reg--decision-trees

Predicting the variables that are highly responsible for house prices in delhi using Linear Regression and decision trees Model.

prompt-engineering-gpt-assistants-api-using-rag

This project showcases the implementation of a prompt engineering using the OpenAI Assistant API, specifically leveraging the Retrieval-Augmented Generation (RAG) system. By integrating cutting-edge language models, the system demonstrates advanced natural language understanding and generation capabilities.

resnet-cnn---flower-image-classification-

This project uses deep learning to classify flower images as "roses" or "daisies," employing data augmentation, ResNet-18 architecture, and hyperparameter tuning.

rsvp_production_sql

Giving recommendations to the Top Indian Production team - RSVP ,for their upcoming film about to be released globally.

sentimental-analysis.-using-webscraping-nlp

The objective of this assignment is to extract textual data articles from the given URL using Beautiful Soup and perform text analysis to compute variables that are explained herein.

spaceship_titanic-prediction

Predicting the transportation of passengers to different planets using systems damaged computer system

telecom-churn-rate

With 226 predictor variables we need to predict whether a particular customer will switch to another telecom provider or not. In telecom terminology, this is referred to as churning and not churning, respectively.

test

transformers-based-text-summarization

Revolutionize text summarization with this Transformer model, leveraging state-of-the-art techniques. Trained on news articles, it produces concise summaries effortlessly. Explore cutting-edge capabilities for your summarization needs.