address-book

addressbook

Address Book in Python

archery-game

Computer Graphics: Archery Game

clustering_geolocation_data

covid-19-data-exploration

EDA in Python based on the data acquired from ’ourworldindata.org’.

crowd-counting-using-deep-learning

csci544-nlp

CSCI 544 - Applied Natural Language Processing (Spring 2023) | Graduate Level Course taught by Prof. Mohammad Rostami, Xuezhe Ma at USC | Credits - 4

csci585-databases

CSCI 585 - Database Systems (Fall 2022) | Graduate Level Course taught by Prof. Sathyanaraya Raghavachary at USC | Credits - 4

customer_segmentation_and_behavioral_analysis

Analysis of customer behavior and segmentation using SQL

decision-trees-as-interpretable-models

Create a decision tree, plot it, convert the rules into IF-THEN format, and utilize cost-complexity pruning for minimal tree and interpretable rules.

detecting-covid19-with-chest-x-ray

event-search-ios-app

Developed an iOS Mobile application, which allows users to search for event information, ticketing information, save events as favorites, and post on Social Media..

event-search-ticketmaster

Developed a web application that allows you to search for event information using the Ticketmaster API, and the results will be displayed in a card in tabular format. The application will also allow users to mark events as “Favorites” and see the list of all events marked as favorites. Also, users can share a post on Facebook and a tweet on Twitter

fake-news-detection

In this project, we leveraged the LIAR dataset, which contains real-life political statements, to identify instances of fake news.

image-caption-generator

This is a Python-based deep learning project that leverages Convolutional Neural Networks and LTSM (a type of Recurrent Neural Network) to build a deep learning model that can generate captions for an image.

image-classification-with-cnn

To create a Convolutional Neural Network (CNN) in Keras with a TensorFlow backend, and to train CNNs to solve Image Classification problems.

knn-on-vertebral-column-data-set

Classification using KNN on Vertebral Column Data Set

lasso-and-boosting-for-regression

LASSO and Boosting for Regression on Communities and Crime data

powered-by-sun

Leveraging Machine Learning to Forecast the Throughput of Solar Power along with Cost and Size Calculation.

registration-form-with-database-connectivity

Registration Form with DB connectivity

regression-on-combined-cycle-power-plant-data-set

The dataset contains data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP)

sorting-visualizer

time-series-classification-part1

Time Series Classification Part 1 Feature Creation Extraction. In this problem, we will classify the activities of humans based on time series obtained by a Wireless Sensor Network.

time-series-classification-part2

Time Series Classification Part 2 Binary and Multiclass Classification. An interesting task in machine learning is classification of time series. In this problem, we will classify the activities of humans based on time series obtained by a Wireless Sensor Network.

unnatibshah