jatinarutla Goto Github PK

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

flasktaskmanagerapp

A simple task manager application developed using Flask deployed on Heroku. The link to the site: https://flasktaskmanagerapp101.herokuapp.com/

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%

heart-disease-prediction

Performed EDA and compared KNNs, Decision Trees, Logistic Regression, Naive Bayes, Random Forest on Cleveland Database.

image-classification

Performing Image classification using Multilayer Perceptron, a class of feedforward Artificial Neural Network (ANN).

jatinarutla.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lyricistgpt

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

neural-style-transfer

Performing Neural/ Image Style Transfer using CNN to compose an image in the style of another image.

pose-detection

premier-league-analysis

Visualizing and analyzing performance of Premier League players with respect to various parameters using Power BI.

recipe-scraping

resume

Resume

sales-analysis-leather-company

sentiment-analysis

Aspect-based sentiment-analysis of technical product reviews.

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%.

startup-location-recommender

Predicting the best location for business startups in a particular neighborhood using K-Means clustering.

streamlit

tatom

Quantitative Text Analysis for the digitale Geisteswissenschaften

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%.

tv-show-recommendation-app

A TV show recommendation app that recommends users Netflix shows which are similar to their selection.

wsol-ssl

Weakly supervised lung disease localization with self-supervised mask-guided convolutional networks

yoga-pose-classification

Classifying images of people into their respective yoga pose’s class.

zero-shot-learning

Classifying unseen food dishes using Zero-shot learning achieving a Top-5 accuracy of 91%.