Ashray Shetty's repositories
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python-programming-exercises
100+ Python challenging programming exercises
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
pushnewrepotest
testing whether its possible to push to two repos
pushrepoout
checking output
hugosite
Testing a Hugo site deployment steps
hugo-PaperMod
A fast, clean, responsive Hugo theme.
hugoforduke17
This is a sample Hugo website for duke
data-1
This repo host content to help teach data science.
github-actions-demo-main
This is a repo for building out Github Actions and Tricks
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
awesome-aws-amplify
Curated list of AWS Amplify Resources
dbt
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Zoom-Automation
An Automation script to automatically join a scheduled zoom meeting at a specific time without manual labour. This one's for all the lazy people like me who don't like waking up too early for zoom classes by the college.
NLPwork
This is meant to track the progress I make in NLP tasks
GraphML
Tracking my progress with Graph Theory and its application in Machine learning
EQ_damage_classification
Using SHAP values to understand the factors that play an important role in deciding level of damage to properties.
graph-theory
Python graph traversal algorithm implementation including BFS, DFS, Topological Sort, Dijkstra, Prim, Borůvka, Kruskal, A*, Bellman Ford, Bron Kerbosch
cell_classification
Classifying breast cancer cell types using CNN
dti_prediciton_project
Leveraging Machine Learning To Predict Binding Affinity Of Drugs To Their Target Based Only On Their Structural Embeddings.