Rajasekhar Devineni (rajadevineni)

rajadevineni

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Company:The University of Texas at Dallas

Location:Dallas

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Rajasekhar Devineni's repositories

City_Description_Dataset_Generator

This kernal is created to collect data on many cities around the world to categorize them based on their descriptions. The list of cities is obtained from https://simplemaps.com as part of their free plan.

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Effects_of_Law_on_Vehicle_Fatalities

Do laws like Tax on Case of Beer ($), Mandatory Jail Sentence, Mandatory Community Service, Minimum Legal Drinking Age affect number of vehicle fatalities in the United States of America? Various hypothesis are tested and found some surprising results.

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Image_Denoising_autoencoder

This project is build with convolutional autoencoder using Keras on Tensorflow to remove synthetic noise added to MNIST dataset of hand written digits.

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MySQL_Mongo_DB_for_COVID_Data

This is an academic project for the course Database Foundations. A python notebook created to generate INSERT SQL quries for each tables in the DB Schema. the python notebook does many of the data processing functions like duplicate handling and splitting the columns and generating datasets(.csv) for individual tables.

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Statistics_with_MS_EXCEL

Statistics & Data Analysis with Excel. Regression Analysis, Regression Modeling with Excel, Hypothesis Testing, Stock portfolio Building

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Applied_Machine_Learning

This repository consists of the homework assigments as part of BUAN 6341 - Applied Machine Learning. The solutions in this repository are to be used strictly as reference purposes only. Copying or submitting the same solutions found in this repository violates the UTD honor code

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House_Price_Prediction

This is a competition for UT Dallas MIS/BUAN students. The purpose of this competition is to evaluate pre-processing steps and use pipelines. The competition is based on a subset of data from Kaggle Competition: https://www.kaggle.com/shree1992/housedata

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Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

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DeepLearningWithPyTorch

This repository consists of all the python file that I created while learning PyTorch using the book, Deep Learning with PyTorch by Eli Stevens and Thomas Viehmann

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Predictive_Analytics_SAS

This repository consists of the homework assigments as part of BUAN 6337 - Predictive Analytics Using SAS. The solutions in this repository are to be used strictly as reference purposes only. Copying or submitting the same solutions found in this repository violates the UTD honor code

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