Saniya S Inamdar's repositories
Credit-Card-Fraud-Detection-model
This repo has a notebook that I worked on for making a fraud detection model. The dataset was Highly imbalanced, so i used random undersampling to balance the data.
AmExpert-Competition
This was an attempt to train a model on the credit default dataset.
Sentiment-Analysis-Experimentation
This is just a personal experiment, where i am trying to Use various methods of performing sentiment analysis. I'm trying to use the famous libraries and their low level functions. The dataset consists of extracted "Top Comments" of a youtube video.
Tweets-Emotional-Analysis
I have performed sentimental and emotional analysis on twitter data, tweets scraped using twitter api based on hashtags like -#machinelearning, #deeplearning, #decisiontree, #artificialintelligence, #Ml, #AI, #neuralnetworks, #datascience, #bigdata, #dataanalysis
COVID-19-Visualisations
Visualizations using various time series and other datasets from Kaggle
CT-Scan-Classification-for-Covid-Testing-App
This app is made using streamlit. You can upload your Chest CT scan and the web app will give you the probability of presence of Covid in your CT Scan.
-Covid-Vaccine-Sentiment-and-Emotion-Analysis
This is analysis of covid vacine related tweets, after preprocessing them; used vader(sentiment analysis) and Nrclex( emotion analysis)
RGIT-Hackathon
Worked on Heart attack Prediction dataset
Random-Forest-Regression-Hyper-Parameter-Tuning-App
streamlit app
ML-app-using-streamlit
In process of creating my own autoML app using streamlit
CNN-Audio-Classifier
Classifies the audio data from .json file, consisting of labels and MFCC vectors.
Heart-attack-possibility-prediciton-app-using-streamlit
Dataset : https://www.kaggle.com/nareshbhat/health-care-data-set-on-heart-attack-possibility
Heart-attack-prediction
Dataset reference: https://www.kaggle.com/nareshbhat/health-care-data-set-on-heart-attack-possibility