Name: Srushti Dhamangaonkar
Type: User
Company: Northeastern University
Bio: Graduate Programmer Analyst | Graduate Student at Northeastern University | Data Engineer | Data Science | Machine Learning | Python
Location: Boston
Blog: https://www.linkedin.com/in/srushti-dhamangaonkar/
Srushti Dhamangaonkar's Projects
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
As part of course CSYE 7245 - Big Data Systems & Intelligence Analytics course, we have covered data engineering projects using on cloud platform and tools.
CSYE7245 - Labs
A dark flat theme for color scheme for iterm2, designed for Powerlevel9k and oh-my-zsh
:art: Diagram as Code for prototyping cloud system architectures
The motive of this project is to identify the images from a dataset using Convolution Neural Network
In this Kaggle competition, I am predicting the sale price of bulldozers sold at auctions. The evaluation metric for this competition is the RMSLE (root mean squared log error) between the actual and predicted auction prices.
Formatted datasets for Machine Learning With R by Brett Lantz
The project provides explanation of what SHAP is and how it can be used to interpret model. Also contains Notebook with detail on model interpretability method SHAP and code implementation on Heart disease dataset.
MongoDB Learning Book with an attempt to create as one source of Learning for MongoDB in Python
Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"
Implementation of supervised learning regression models like KNN, Random Forest using hyperparameter tuning on titanic dataset.
A few exercises for use at events.