ipriyaaanshu

ad-clicks

In this project I will be working with a fake advertising data set, indicating whether or not a particular internet user will click on an Advertisement. I will try to create a model that will predict whether or not they will click on an ad based off the features of that user.

advanced-regression

In this project, I will use Ames housing prices dataset available at Kaggle, and apply advanced regression techniques and compare their effectiveness on such problems.

breast-cancer-detection

This data has been taken from the University of California Irvine's machine learning repository. It is a standard dataset that can be used to apply and test the efficiency and accuracy of various advanced classification algorithms on such data. Fortunately, I managed to get a 100% test accuracy without over-fitting the model, want to see which algorithm gave such awesome accuracy?

CCA175

CCA175-Exam-Preparation

Cloudera CCA175 Spark and Hadoop Developer exam preparation

credit-card-fraud-detection

HackUTD-VI

IBM-HR-Analytics

Predicting Attrition in IBM's HR Analytics Data.

loan-repayment-prediction

Lending Club Loan Data

lung-cancer-detection

This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.

ipriyaaanshu/lung-cancer-detection

This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.

ipriyaaanshu/breast-cancer-detection

This data has been taken from the University of California Irvine's machine learning repository. It is a standard dataset that can be used to apply and test the efficiency and accuracy of various advanced classification algorithms on such data. Fortunately, I managed to get a 100% test accuracy without over-fitting the model, want to see which algorithm gave such awesome accuracy?

ipriyaaanshu/IBM-HR-Analytics

Predicting Attrition in IBM's HR Analytics Data.

ipriyaaanshu/ad-clicks

In this project I will be working with a fake advertising data set, indicating whether or not a particular internet user will click on an Advertisement. I will try to create a model that will predict whether or not they will click on an ad based off the features of that user.

ipriyaaanshu/advanced-regression

In this project, I will use Ames housing prices dataset available at Kaggle, and apply advanced regression techniques and compare their effectiveness on such problems.

ipriyaaanshu/CCA175

ipriyaaanshu/CCA175-Exam-Preparation

Cloudera CCA175 Spark and Hadoop Developer exam preparation

ipriyaaanshu/credit-card-fraud-detection

ipriyaaanshu/e-commerce

An E-Commerce company based in New York City that sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

ipriyaaanshu/HackUTD-VI

ipriyaaanshu/loan-repayment-prediction

Lending Club Loan Data

ipriyaaanshu/unsupervised-learning

For this project I will attempt to use Unsupervised to cluster Universities into to two groups, Private and Public.

ipriyaaanshu/CIFAR-10

ipriyaaanshu/data-scientist-value

Flask app to calculate compensation of a data scientist

ipriyaaanshu/Fashion-MNIST

ipriyaaanshu/fnmUTD_2019

Fannie Mae code samples for the UTD Hackathon

ipriyaaanshu/house-prices-prediction

I have a dataset containing some real estate data that I can use to predict the estimate price of houses across United States. Although the data is not real but it is a great exercise to test my supervised learning and modelling skills.

ipriyaaanshu/iPriyaaanshu

ipriyaaanshu/madlib-site

Mirror of Apache MADlib site

ipriyaaanshu/MarkdownCV

An in-browser, local-first Markdown resume builder.

ipriyaaanshu/MNIST-deep-learning

This is a beginners' project in deep learning. I used Keras with Tensorflow as backend to create a Convolutional Neural Network for recognizing handwritten digits.

ipriyaaanshu/pygeolang

ipriyaaanshu/RAGxplorer

ipriyaaanshu/Subjectivity-Analyzer

ipriyaaanshu/test-script