Pinned Repositories
Brain-MRI-Segmentation
2-D and 3-D Brain MRI segmentation
Credit-Card-Fraud-Detection
Performing EDA and implementing ML algorithms to identify fraudulent credit card transactions using undersampling and oversampling techniques.
Customer-Churn-Prediction
Telecom Churn Analysis and Prediction using SMOTE oversampling and a Voting Classifier achieving an accuracy of 85.4%. The behaviour of the customers is predicted to help retain them.
Dissertation1
Neural-Style-Transfer
Performing Neural/ Image Style Transfer using CNN to compose an image in the style of another image.
Premier-League-Analysis
Visualizing and analyzing performance of Premier League players with respect to various parameters using Power BI.
Recipe-Scraping
Sentiment-Analysis
Aspect-based sentiment-analysis of technical product reviews.
wsol-ssl
Weakly supervised lung disease localization with self-supervised mask-guided convolutional networks
JatinArutla's Repositories
JatinArutla/Premier-League-Analysis
Visualizing and analyzing performance of Premier League players with respect to various parameters using Power BI.
JatinArutla/Recipe-Scraping
JatinArutla/Brain-MRI-Segmentation
2-D and 3-D Brain MRI segmentation
JatinArutla/Credit-Card-Fraud-Detection
Performing EDA and implementing ML algorithms to identify fraudulent credit card transactions using undersampling and oversampling techniques.
JatinArutla/Customer-Churn-Prediction
Telecom Churn Analysis and Prediction using SMOTE oversampling and a Voting Classifier achieving an accuracy of 85.4%. The behaviour of the customers is predicted to help retain them.
JatinArutla/Dissertation1
JatinArutla/FlaskTaskManagerApp
A simple task manager application developed using Flask deployed on Heroku. The link to the site: https://flasktaskmanagerapp101.herokuapp.com/
JatinArutla/Neural-Style-Transfer
Performing Neural/ Image Style Transfer using CNN to compose an image in the style of another image.
JatinArutla/Sentiment-Analysis
Aspect-based sentiment-analysis of technical product reviews.
JatinArutla/Sentiment-Analysis-IMDb
Sentiment Analysis is implemented on the IMDB Dataset of 50K Movie Reviews using Logistic Regression and LSTM achieving an accuracy of 89.88%.
JatinArutla/TV-Show-Recommendation-App
A TV show recommendation app that recommends users Netflix shows which are similar to their selection.
JatinArutla/wsol-ssl
Weakly supervised lung disease localization with self-supervised mask-guided convolutional networks
JatinArutla/Handwritten-Digit-Recognition
Classifying Handwritten Digits using Multi-layer Perceptron, which is a class of feed forward Artificial Neural Networks (ANN) and Tensorflow with an accuracy of 97.74%
JatinArutla/Heart-Disease-Prediction
Performed EDA and compared KNNs, Decision Trees, Logistic Regression, Naive Bayes, Random Forest on Cleveland Database.
JatinArutla/Image-Classification
Performing Image classification using Multilayer Perceptron, a class of feedforward Artificial Neural Network (ANN).
JatinArutla/LyricistGPT
JatinArutla/mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
JatinArutla/Pose-Detection
JatinArutla/Resume
Resume
JatinArutla/sales-analysis-leather-company
JatinArutla/Startup-Location-Recommender
Predicting the best location for business startups in a particular neighborhood using K-Means clustering.
JatinArutla/Streamlit
JatinArutla/tatom
Quantitative Text Analysis for the digitale Geisteswissenschaften
JatinArutla/Titanic-Survival-Prediction
KAGGLE COMPETITION: Using a Random Forest Classifier to create a model that predicts which passengers survived the Titanic shipwreck achieving an accuracy of 83%.
JatinArutla/Yoga-Pose-Classification
Classifying images of people into their respective yoga pose’s class.
JatinArutla/Zero-Shot-Learning
Classifying unseen food dishes using Zero-shot learning achieving a Top-5 accuracy of 91%.