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A visual example of the concepts of under and overfitting in supervised machine learning using U.S. state border data.
Updated
Nov 18, 2018
Jupyter Notebook
Python version of Andrew Ng's Machine Learning Course.
Updated
Nov 19, 2019
Jupyter Notebook
Fraud detection over twitter feed data
Updated
Feb 6, 2020
MATLAB
Brief study on Underfitting and Overfitting in Machine Learning
Updated
Mar 16, 2018
Jupyter Notebook
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.
Updated
Mar 11, 2020
Jupyter Notebook
Make use of PyTorch's custom modules to define a network architecture and train a model. Investigate how to improve a model's performance and deploy your model for wider use.
Updated
Mar 26, 2020
Jupyter Notebook
Write code of linear regression by gradient descent with regularization, and examine the overfitting and underfitting effect.
Updated
Jul 19, 2018
Jupyter Notebook
A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis
Updated
Jul 22, 2017
Jupyter Notebook
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