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1d-cnn-for-ecg-classification

Using 1D CNN (convolutional neural network) deep learning technique to classify ECG (electrocardiography) signals as normal or abnormal. Trained with MIT-BIH Arrhythmia Database: https://www.physionet.org/physiobank/database/mitdb/

a-b-testing-case-study

amsterdamumcdb

AmsterdamUMCdb - Freely Accessible ICU database. Please access our Open Access manuscript at https://doi.org/10.1097/CCM.0000000000004916

analytic-projects-in-python-eda

There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.

azure-data-scientist-associate-certification-guide

Microsoft Certified: Azure Data Scientist Associate Certification Guide, published by Packt

azure-docs

Open source documentation of Microsoft Azure

azure-python-labs

Labs demonstrating how to use Python with Azure, Visual Studio Code, GitHub, Windows Subsystem for Linux, and more!

bland-altman-and-correlation-analysis-in-python

Using Python to carry out Bland-Altman and correlation statistical analysis on data

breast-cancer-classification-using-support-vector-machine-models

Exploring the Wisconsin Breast Cancer data set (which was never actually intended for machine learning) and optimizing different Support Vector Machine models to classify benign and malignant tumors.

classification-of-hypoglycemia

cnn-arrhythmia-dection

A 1D Convolutional Neural Network I trained to detect 5 types of arrhythmia in heartbeats taken from the MIT/BIH Arrhythmia Database

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

data-science-for-marketing-analytics

Achieve your marketing goals with the data analytics power of Python

data-science-template

Template for a data science project

deeplearning

diabetes-detection-using-neural-network

ecg-atrial-fibrillation-classification-using-cnn

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

grocery-signup-rate

instacart-market-basket-analysis

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

learn-sql

Exercises for beginners to learn SQL

machine-learning-a-z

MachineLearningA-Z course using R and Python

machine-learning-cookbook-with-python

microsoft-azure-az-900-microsoft-azure-fundamentals-practice-tests-exams-questions-answers

⛳️ PASS: Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

neural-network-from-scratch

Implementing Multiple Layer Neural Network from Scratch

neurokit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

pcwt

wavelet coherence for Python

physiological-signal-classification-papers

A list of papers for physiological signal classification using machine learning/deep learning.