Pinned Repositories
Census_Data_Analysis
Water_Quality_Analysis_ArtificialNeuralNetwork
Design_and_Analysis_of_Codeys_Construction_Database
SQl_project
Darmhy
Config files for my GitHub profile.
Go-Fish
The implementation of Go Fish game in Python with different AI strategies. Specifically, the strategies adopted are: Greedy optimisation-based Approach, Monte-Carlo Tree Search, Learning Approach with Recurrent Neural Network.
architect
Architect is a Jekyll theme for GitHub Pages
cvbook
Notes for Jan Erik Solem's "Programming Computer Vision with Python" book
DA-100KO-Analyzing-Data-with-Power-BI
DA-100: Power BI로 데이터 분석
darmhy.github.io
Darmhy's Repositories
Darmhy/data-engineering-zoomcamp
Free Data Engineering course!
Darmhy/data_eng_zoomcamp
Darmhy/HUTH_Bed_allocation_Dashboard
A modification of the NHS AI Lab Skunkworks project: Bed Allocation for Hull University Teaching Hospital, Royal Infirmary
Darmhy/Data-Engineering-Projects
Personal Data Engineering Projects
Darmhy/darmhy.github.io
Darmhy/architect
Architect is a Jekyll theme for GitHub Pages
Darmhy/skunkworks-bed-allocation
NHS AI Lab Skunkworks project: Bed Allocation
Darmhy/MultiImage_Recogniser_ConvNet
Darmhy/Design_and_Analysis_of_Codeys_Construction_Database
Darmhy/Heart_Failure_prediction
Darmhy/SQl_project
Darmhy/Darmhy
Config files for my GitHub profile.
Darmhy/Water_Quality_Analysis_ArtificialNeuralNetwork
Darmhy/Census_Data_Analysis
Darmhy/Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
Darmhy/mslearn-dp100
Lab files for Azure Machine Learning exercises
Darmhy/MCW-Migrating-SQL-databases-to-Azure
MCW Migrating SQL databases to Azure
Darmhy/Udacity-Machine-Learning
Darmhy/handson-ml2
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.
Darmhy/goodboychan.github.io
jupyter blog
Darmhy/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Darmhy/DataCamp
code for DataCamp classes
Darmhy/udacity-machine-learning-1
All the work that I have done for the Udacity Machine Learning Course
Darmhy/TailwindTraders
Darmhy/DA-100KO-Analyzing-Data-with-Power-BI
DA-100: Power BI로 데이터 분석
Darmhy/High-Speed-Train-Simulation-and-Optimisation-for-Accidental-Delay-induced-Single-Line-Assembly
Abstract- This report aims to model train simulation between London and Birmingham station. The model simulates n number of trains with K number of blocks to safely drive train given maximum speed of 86.1 m/s, while max acceleration of 0.76 m/s2 and safely decelerating at 0.38 m/s2. There is a five second delay after a train passes a signal before it changes back to green. The model is further optimised to maximum number of trains per hour given an accidental delay of half hour introduced at 9.00 am to 9.30 am. The report yields that maximum 20 trains per hour can transit given the number of blocks is 2 to maximise the transport. Three methods of optimisation were used namely random hill climbing, Greedy hill climbing and Monte-Carlo simulation. Monte-Carlo gave the best result for optimisation on all three
Darmhy/metis_project_3
Classification models to predict clinical trial termination
Darmhy/nhsalexahack
Darmhy/Hyperparameter-Tuning
Hyperparameter tuning in Decision Tree Classifier, Bagging Classifier and Random Forest Classifier for Heart disease dataset.
Darmhy/ML_Model_for_Predicting_Ships_Crew_Size