Srishti Dasarathy's Projects
An introduction on how to grab coarse-mode Aerosol Optical Depth (AODc), available on NASA EarthData
Analysis from 'Wind-driven and Seasonal Effects on marine aerosol production in the Bellingshausen Sea, Antarctica'
Ananke: A theme for Hugo Sites
I'll be using the Naive Bayes Classifier to determine whether an email corresponds to spam or not.
I'll be using census data across various places to predict housing prices! A few different examples within.
Using supervised ML models and pipelines to examine the famous Iris flower dataset
The legendary Titanic Machine Learning Competition hosted on Kaggle!
I will classify wines into 3 different target categories using the sklearn wine dataset
Scripts used in paper titled, 'Multi-year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea.' These scripts are authored by S. Dasarathy.
Repository to store sample python programs for python learning
Repository for the Certification Course "Python for Data Science and Machine Learning Bootcamp"
This repository is dedicated to sharing my code on how I grab satellite data metrics, marine aerosol optical depth (MAOD), chlorophyll-a concentration, sea ice, and wind speed. These variables are obtained from January 1st 2007 to December 31st 2020 across the Southern Ocean, encompassing all longitudes and all latitudes south of 50S.
Preliminary data analysis on southern ocean scale variables, including marine aerosol optical depth (MAOD), depolarization ratio (sea ice), chlorophyll-a concentration, and wind speed.
Coursework includes: SQL Basics, More Advanced SQL Queries, Relational Queries in SQL, & Modifying Databases with SQL
Srishti Dasarathy, PhD Portfolio
Personal website here: https://srdasara.github.io