Sarah Amiraslani's Projects
Code to accompany Advanced Analytics with Spark from O'Reilly Media
GitHub Actions for GitHub Pages 🚀 Deploy static files and publish your site easily. Static-Site-Generators-friendly.
A beautiful, simple, clean, and responsive Jekyll theme for academics
A list of awesome beginners-friendly projects.
This repository contains the code accompanying my blog posts on my website sarahamiraslani.com.
Interactive Data Visualization in the browser, from Python
Using geospatial data, we explore whether the location of popular clubs and bars in San Diego County is related to traffic collisions reported between 2015 and 2019.
My cheatsheets
Source Code for the Book Classic Computer Science Problems in Python
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Data Visualization with Python
A project to study whether drawing is a useful strategy to learn about abstract scientific concepts.
🚀✨ Help beginners to contribute to open source projects
This project applies supervised learning to predict top 10 race finishes, pinpointing key factors that influence these outcomes. Additionally, it employs unsupervised learning to cluster race tracks based on characteristics like layout and surface, offering novel insights into racing strategies and optimizing performance.
A collection of useful .gitignore templates
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Notes I have taken when studying Python and data science.
Notebooks and code for the book "Introduction to Machine Learning with Python"
PDFs for the slides from Spring 2023 COGS 108 at UCSD
Lime: Explaining the predictions of any machine learning classifier
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
Companion repository for the book Building Machine Learning Powered Applications
A class project to design an ethical movie recommendation system
Draw interactive NetworkX graphs with Altair
Curated list of project-based tutorials
Machine Learning for Big Data using PySpark with real-world projects
Python Implementation of Reinforcement Learning: An Introduction
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent