📑 Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus
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Updated
Nov 21, 2022 - R
📑 Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus
👷♂️ A simple package for extracting useful features from character objects 👷♀️
🏁 API client for Kaggle
PyTorch bindings for R
Academic project for Advances in Data Science and Architecture course
This repository contains the necessary scripts to derive off-target models through (1) A neural network framework based on Keras and Tensorflow (2)An autmomated machine learning framework based on AutoGluon
Individual claims history simulation machine
Traffic Status Prediction
isingLenzMC: Monte Carlo for Classical Ising Model (with core C library)
Business Intelligence Course work - R Studio (Neural Networks, Deep Learning, Data Warehousing)
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
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Data analysis project for Tele2 Big Data Academy 2018
Construction of Gene Expression Network across 3 brain regions in the presence of Ethanol using WGCNA in R
Predicting an Employee’s wage - A comparison between Logistic Regression and Neural Networks
Elman Deep Neural Network in Forecasting application using R programming tested on 3 types of dataset
Parts of code from my MSc. dissertation project. Uses yahoo API to load past stock data for training and backtesting various traditional and experimental models for VaR calculation. Written in R & Python.
Using biological and lifestyle data on Machine learning models to predict the type and severity of drug use in individuals.
Time series forecasting using NN models.
ML price prediction and cluster analysis on Kaggle competition NY Airbnb open data. Linear regression, Decision trees, Random Forest, Ranger RF, Neural Networks, K-mean, PCA, Hierarchical Clustering
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