dheepaks33
Passion for technology never wanes, which motivates me to continue learning!
Coimbatore, Tamilnadu, India
Pinned Repositories
Credit-Card-Fraud-Detection
Cardiovascular-Disease-Classification
MICCAI Dataset Segmentation: Implemented a 2D UNet architecture to achieve 96.38% accuracy in segmenting cardiovascular structures from MICCAI medical images. Patient Classification: Employed Gradient Boosting Machines (GBM) and Random Forest (RF) algorithms to classify patients into five groups with 92.76% accuracy on the testing set.
dheepaks33
Config files for my GitHub profile.
Drowsiness-Detection-System
Drowsiness detection system using Python
Feel-Tweets
LeetCode---Weekly-Contest-368
NLP-with-Disaster-Tweets
Solved the Kaggle Challenge - Natural Language Processing with Disaster Tweets
Portfolio
Sentence-Saliency-System
Snake-and-Ladder-Game
dheepaks33's Repositories
dheepaks33/dheepaks33
Config files for my GitHub profile.
dheepaks33/Portfolio
dheepaks33/Cardiovascular-Disease-Classification
MICCAI Dataset Segmentation: Implemented a 2D UNet architecture to achieve 96.38% accuracy in segmenting cardiovascular structures from MICCAI medical images. Patient Classification: Employed Gradient Boosting Machines (GBM) and Random Forest (RF) algorithms to classify patients into five groups with 92.76% accuracy on the testing set.
dheepaks33/Credit-Card-Fraud-Detection
dheepaks33/NLP-with-Disaster-Tweets
Solved the Kaggle Challenge - Natural Language Processing with Disaster Tweets
dheepaks33/Sentence-Saliency-System
dheepaks33/Todo-using-CLI
dheepaks33/LeetCode---Weekly-Contest-368
dheepaks33/Yukta-23
dheepaks33/Feel-Tweets
dheepaks33/Snake-and-Ladder-Game
dheepaks33/Drowsiness-Detection-System
Drowsiness detection system using Python