Assignments for the Programmer som Data course at the IT University of Copenhagen.
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Updated
Dec 18, 2019 - F#
Assignments for the Programmer som Data course at the IT University of Copenhagen.
Interpreting age groups impact on COVID-19 using deep learning timeseries models
An R library dedicated to helping users build regression models, providing text output to ease interpretation of the model’s results, and optimizing model specifications.
Classification of Breast Cancer diagnosis Using Support Vector Machines
Set of functions for visual interpretation of 1D neural networks compatible with Tensorflow 2.0
Generate valuable insights from customer and transactions data.
A Flask application allowing the user to upload a ECG to a webserver and get a prediction back
This project analyzes sales data for Adventure Works, a bike company. Perform analysis by uncovering trends, customer behavior, and product profitability to optimize sales and marketing strategies.
Code for Channel Embedding for Informative Protein Identification from Highly Multiplexed Images. MICCAI 2020
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
Data in support of... [title of manuscript]
some training, learning and TD/TP ressources
This is a CLI Node.js application that allows a user to take in prompt commands from the user and push out the content requested. This application showcases the ability to log text, activate and push data through a secure API connection on Spotify and Twitter
Interesting interpretations and functions learnt through my machine learning course
Here is a personal project where i use KNN project to classify songs
Approaches for exploration and interpretation of the deep neural networks behavior
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