螺旋熵减系统
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Updated
Jun 5, 2024 - Objective-C
螺旋熵减系统
螺旋熵减理论
Training machine learning models through supervised learning, utilizing PCA for visualization, and employing the k-means clustering algorithm for unsupervised learning on unlabelled data.
Project to demonstrate various clustering algorithms for customer segmentation.
IU Projects
IU Lessons
This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)
This script performs KMeans clustering and trains a neural network to predict heart disease, including data preprocessing, clustering visualization, and model evaluation.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
This repository contains the code and analysis for a research project aimed at enhancing social media impact for food safety security organizations. The project focuses on understanding text tone preferences based on user demographics using machine learning techniques.
Automatic Gap-Fill Question Generation
ML/DL project for unsupervised traffic segmentation. We used a YOLOv5 model as our encoder and created a custom UNet for our decoder
efficient graph partitioning
repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics
Machine Learning Clustering Techniques for Customer Segmentation - Certification Project
Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
for various machine learning projects
Task-2 Completed as a DSBA Intern @ The Sparks Foundation
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