Varshitha C Vasireddy (VarshithaCVasireddy)

VarshithaCVasireddy

Geek Repo

Company:University of Oklahoma

Location:Norman

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Varshitha C Vasireddy's repositories

Fake_News_Detection

Developed a project which detects the news either as fake or real. GPT2 transformer model is used to predict the sentiment and genre of news. Classifier Machine Learning models and Hugging Face Transformer-Based language models are used to classify the news

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Sensitive_Information_Redactor

Sensitive Information Redactor redacts sensitive information like names, dates, phone numbers, genders, address and any specific content from the given data or article.

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aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

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Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

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Crime_Incidents_Reporter

Incidents from Norman PD website are collected and reported according to the number of cases.

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cs5293sp22

My class workspace.

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Cuisine_Predictor

Cuisine Predictor takes a list of ingredients from a user and attempts to predict the type of cuisine and similar meals

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Customer_Sales_Revenue_Prediction

Based on customer visiting information to the site the customer sales revenue is predicted using machine learning models stacking

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data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

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Hospital_Readmission_Classifier

Developed an ML model that can perform Binary Classification to predict if a patient with certain attributes like gender, age, etc., will be readmitted in the future. Built a data pipeline using R programming that performs Imputation, Factor-levels collapsing, summarization, and models based on Random Forest and XGBoost algorithms

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Redacted_Names_Predictor

The unredactor will take redacted documents where name of a person is redacted and it returns the most likely candidates to fill in the redacted location.

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Unstructured_Pathogen_Data_Automation

Large Unstructured pathogen data file is automated into structured data excel file for different pathogens along with different regions as sheets in the excel and this data file is statistically processed to put the data into dashboard

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Jokes_GPT2_model

Trained the GPT2 model with the jokes dataset in order to fill the given sentence

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pyspark

This is my pyspark tutorial

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Text-Classification-Notes

This is about Text Classification. Naive Bayes Classifier, Decision Tree Classifier and Random forest is discussed.

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