A machine learning model to predict the selling price of goods to help an entrepreneur understand important pricing factors in the industry. Highly comprehensive analysis with all data cleaning, exploration, visualization, feature selection, model building, evaluation, and assumptions with validity steps explained in detail.
- Data Cleaning
- Linear Regression
- Support Vector Regression (SVR)
- Feedforward Neural Network
- Sample Data:
Raw,Cleaned&Test.
- Full Report (TH) Download (.pdf | 2.2 MB)
- Keynote (TH) Download (.pdf | 7.4 MB)
Graph shows predictions miss the actual values at some places but given that we want to avoid overfitting and want our model to generalize well and perform well on unseen test data. We will have to compromise a bit (bias-variance tradeoff).
- Linear Regression
- Support Vector Regression (SVR)
- Feedforward Neural Network
- Linear Regression
- Support Vector Regression (SVR)
- Feedforward Neural Network
Licensed under The MIT License. You could use the source code for whatever you want as long as the LICENSE file or the license header in the source code still there.
All reading materials from this repository is licensed under CC BY 4.0. You could use this repository as your reference as long as you give the attribution.
Copyright © 2020 Wutipat Khamnuansin, All rights reserved.