Name: Mulugeta Semework Abebe
Type: User
Company: Columbia University
Bio: I am currently an associate research scientist at Columbia University’s department of Neuroscience. I received my Ph.D. in Neural Science and Behavior in NYC.
Location: New York
Mulugeta Semework Abebe's Projects
Convolutional Neural Networks
Brain data (neural spiking) deep-learning analysis using multiple neural networks, from single to 5 layer o
Tutorials for app(let) developers:
EXERCISES
Simple Spreadsheet Analysis-HireArt
Predict movie rating using IMDB data and a ML model
classify financial news sentiments using Alpaca, BERT and GPT
Neural Data Analysis
Open source platform for the machine learning lifecycle
Modin: Scale your Pandas workflows by changing a single line of code
Mulugeta's Website
Machine Learning /AI approach to predict neural responses
Text-mine a published novel and wordcloud plot the top 'maxWords' most frequent words (names, locations, etc.)
Natural Language Processing (tex mining) of a novel
A Natural Language Processing (NLP) interactive Plotly Dash tool to process text data - from tokenizing, lemmatizing, etc. all the way to Machine Learning (ML) classification and word prediction.
A tutorial on merging and joining data frames using Python Pandas. See accommpanying blog post at www.shanelynn.ie
A method to use public data to study the relationship between a few factors and their impact on each other -especially on health
patient paradigms
Code to compute permutation and drop-column importances in Python scikit-learn random forests
Config files for my GitHub profile.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Build an XNAT server configuration with Docker Compose
A Vagrant project for creating a fresh clean and smelly good XNAT installation.