Sheetal Bongale's repositories
ALE-gorithm
All things Beer! Beer Educator and Recommender Web App | Deployed on GCP > https://alegorithm-fxljyqhslq-uc.a.run.app/ | UT Data Analysis and Visualization Nov 2019 - May 2020.
Scooters-In-Austin-Data-Analysis
Project analyzing the City of Austin's Open Data for 8.4M shared scooter rides and also compare the city's 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020
ALE-gorithm-II
Ale-gorithm 2 is a full stack beer recommender app using Collaborative Filtering Machine Learning Models. ALE-gorithm-2 will recommend your next beer in two ways using a custom recommender model built with Surprise-scikit KNN Model | Deployed on GCP > https://alegorithm2-fxljyqhslq-uc.a.run.app
Diabetes-Detection-Using-Deep-Learning
A simple neural network using Keras and Python to solve a binary classification problem to detect an onset of diabetes.
Blackjack-Python
A simple command-line Blackjack game implemented using Python and Object Oriented Programming concepts
Big-Data-Using-PySpark
Demonstrate ETL processes in Big Data using PySpark and using AWS's Relational Databases to analyze and perform statistical analysis of Amazon's Vine program customer reviews.
Recommender-Systems-Machine-Learning
Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.
Retail-Time-Series-Analysis-and-Forecasting
Time series demand and forecasting predictions for future sales and inventory. Exploring various models - ARIMA, SARIMA, Prophet and LSTM
austin-sharedmobility-webapp
Demonstrate serving a Flask Web App for City of Austin's Open Data about Shared Mobility Complaints and Shared Mobility & Dockless rides. Deployed using Heroku: https://atx-sharedmobility.herokuapp.com/
Iris-Data-Predictive-Modeling
Build and test multiple sci-kit learn machine learning models to predict species from flower measurements.
Pandas_Exercises
Practice your pandas skills!
sheetalbongale.github.io
Find my portfolio here: https://sheetalbongale.github.io
Austin-Scooter-Rides-2019-Vs-2020
Project analyzing how COVID-19 lockdown affected the City of Austin's scooter rides and scooter complains.
Binary_Classification_Using_Tensorflow
Analyze, preprocess, design, optimize and train a binary classification model using neural networks with TensorFlow.
Building-Data-Pipelines
Building data pipelines to improve the multistage workflow of a ML/DL project to production. SkLearn | Keras | MLFlow | Airflow
Car-Feedback-Flask-Webapp
Lexus feedback survey web-application using Python, Flask, Postgres and deployed on Heroku that sends the survey data to a Postgres database and emails admin.
Clustering-Crypto
Unsupervised learning project using Amazon SageMaker demonstrating data dimension reduction with PCA and clustering the cryptocurrencies using K-Means Clustering
COVID19-NLP-Model
Exploring COVID-19 Open Research Dataset (CORD-19) to apply natural language processing(NLP) to generate new insights in support of the fight against this infectious disease.
Currency-Risk-Time-Series-Analysis
Exploring historical Dollar-Yen exchange rate futures data and apply time series analysis and forecasting modeling including linear regression, ARMA, ARIMA and GARCH to determine whether there is any predictable behavior.
Deep-Learning-Computer-Vision
Train and deploy a brick/ball/cylinder classifier using deep learning computer vision models.
Environmental_Anomaly_Detection
Build, train, optimize, and deploy a machine learning model to a virtual edge device that accurately detects environmental anomalies.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Plotly-Dashboard
Built a full-stack interactive dashboard to explore the Belly Button Biodiversity DataSet using Plotly, Javascript, D3.js, Flask and SQLAlchemy. Deployed app on Heroku: https://belly-button-dashboard-sheetal.herokuapp.com | UT Data Analysis and Visualization Nov 2019 - May 2020
Sentiment-Analysis-NLP
Exploring Natural Language Processing using various sci-kit learn models and NLTK library to create a IMDb movie review sentiment classifier.
Spatial-AI-OpenCV
Demo Applications for Spatial AI Webinar
SQL-Challenge
Execute MySQL queries on Sakila database(samples a DVD Rental Store) utilizing MySQLWorkbench | UT Data Analysis and Visualization Nov 2019 - May 2020
Yield-Analysis-In-Semiconductor
Machine learning techniques to develop a data-driven model for yield analysis and yield predictions in semiconductor manufacturing process