NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
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Updated
Jun 20, 2017 - Python
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
A series of documented Jupyter notebooks implementing SVM and SVC's.
predict korean cable drama tv rate by users behavior in social network
Implementation of Neural Network from scratch
Application of SVM in financial time series forecasting
Regression models other than linear and multiple in Python
This repository is to demonstrate Neural Networks and Support Vector Machine based regression methods.
A very basic Support Vector Regression model implemented in python
Regression Models (other than simple and multiple) using R
Regression Models (other than simple and multiple) using Python
backup of my bachelor thesis scripts, electricity price forecasting
Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems
Scripts for machine learning at ONR project (2017-)
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
Comparison of different regression techniques on hous price prediction
Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle
There are two models for predicting the future stock prices of companies using feed forward network and SVR
Age Estimation via fastAAMs
Regression models using scikit learn library
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