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Name: Saniya S Inamdar
Type: User
Bio: I continuously develop myself in ML and DS. Looking forward to collaborations on Ml projects!
Name: Saniya S Inamdar
Type: User
Bio: I continuously develop myself in ML and DS. Looking forward to collaborations on Ml projects!
This is analysis of covid vacine related tweets, after preprocessing them; used vader(sentiment analysis) and Nrclex( emotion analysis)
This was an attempt to train a model on the credit default dataset.
Classifies the audio data from .json file, consisting of labels and MFCC vectors.
Visualizations using various time series and other datasets from Kaggle
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.
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.
Dataset : https://www.kaggle.com/nareshbhat/health-care-data-set-on-heart-attack-possibility
Dataset reference: https://www.kaggle.com/nareshbhat/health-care-data-set-on-heart-attack-possibility
In process of creating my own autoML app using streamlit
streamlit app
Worked on Heart attack Prediction dataset
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.
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
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Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.