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18785-data-inf-app-ml

Course 18785: Data Inference and Applied Machine Learning. analyze datasets from WHO with skills including EDA, hypothesis testing, statistical modeling, and machine learning

andysbrainbook

This repository contains the files that generate Andy's Brain Book on ReadTheDocs.

course-content

fall2022-homework-3

forwardmodel

genomics

Python practice for genomics data based on the Coursera course

glmsingle

A toolbox for accurate single-trial estimates in fMRI time-series data

health-survey-risk-factors

Our class project on evaluating a health survey dataset from kaggle. We'll try EDA, feature selection, perform +evaluate different ML models, and visualize results. Dataset: Behavioral Risk Factor Surveillance System Analysis

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machine-learning-science-class

music-bci_group-6

data analysis

neural-signal-quality

Develop quantitative metrics to assess the signal quality across days and across channels. Preprocess spikes data from Churchland's dataset.

python-example-stack

python-get-forecast

Get Pittsburgh's nightly forecast from the National Weather Service

qichaoalicewu.github.io

recover-project

xavibeltranurbano.github.io

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