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algorithms

aws_practice

This repository contains data and code I use to get more familiar with building ML models in AWS.

bert-text-classification

This repo has data and code for classifying tweets according to their sentiment, using a BERT classifier.

cse6040fa16labs

Georgia Tech, CSE 6040 Jupyter notebooks

cse6250-project

data-science-from-scratch

This repository contains code from my review of Joel Grus's book Data Science From Scratch: First Principles with Python

docker-for-ml

This repository contains code for deploying a machine learning model using Docker.

document-classification

ecommerceanalysis

Exploratory analysis and extracting of valuable insights from eCommerce data using postgresql via Jupyter notebook.

finance

In progress: an article about portfolio optimization using stock return data from Yahoo! Finance.

hands_on_machine_learning

This repository holds data and code I used while working through Hands On Machine Learning with Scikit-Learn, Keras, and TensorFlow, by Aurelien Geron.

mastering-big-data-analytics-with-pyspark

Mastering Big Data Analytics with PySpark, Published by Packt

nlp_projects

This repository contains data and code from projects I've done related to Natural Language Processing (NLP).

phenotyping

This repository contains data and code for the paper"Comparing deep learning and concept extraction based methods for patient phenotyping".

practical_data_science

This repository holds the code and notes from my work with the Practical Data Science Specialization on Coursera.

principalcomponentanalysis

Implementation of PCA from scratch in R and an explanation of the key components of this dimensionality reduction technique.

randomforest

Implementation of random forest classifier from scratch in Python

randomforest1

This is a Random Forest Classifier I build from scratch.

webscraping

In progress: web scraping code to extract text and key information from a series of Medium articles