The first step if you're new to machine learning.
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Updated
Oct 9, 2024 - Jupyter Notebook
The first step if you're new to machine learning.
Simulate the winner of a hypothetical fight using machine learning
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.
Prediction Car prices using a Linear Regression model
Python Data Analysis & Visualization: Player Size Relative to Performance
Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning
This predicts that will a previous donor donate blood in a given month or not
Using Python for Data Science
Self-taught data analyst.
Comparing sampling techniques and classification algorithms to predict credit risk
Notes while learning to code in python
A website where users can find reviews about their favorite local coffee houses
Heart Disease prediction and Breast Cancer Detection
classifical between Brahms, Beethoven, Bach , and Schubert MIDI Audio Files
Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations
Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk
This is a Python Simple Linear Regression project that takes in an excel spreadsheet with 2 continuous variables, one independent and the other dependent, and it'll split the data into training and test data on 80/20 ratio. We use the training data to create a model then we use the test data to calculate the Mean Square Error of the model.
Stock market prediction using LSTM model
In-class work from Data Science 101 at Pomona College
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