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1. Housing-Market-CNN Housing-Market-CNN Public

   I explore multimodal learning by using a Convolutional Neural Network (CNN) in order to predict housing prices based on the basic information on the house (such as the number of bedrooms, bathroom,…

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2. Cs9860A-Final-Project Cs9860A-Final-Project Public

   Final Project for CS 9860A- Advanced Machine Learning; using regression techniques to predict housing prices using the House Price- Advanced Regression Techniques Kaggle dataset

   Jupyter Notebook 1

3. astroquery astroquery Public

   Forked from astropy/astroquery

   Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz

   Python

4. RK-Solve-Lane-Emden RK-Solve-Lane-Emden Public

   Forked from xli2522/RK-Solve-Lane-Emden

   Python

5. Linear-Regression Linear-Regression Public

   Using my own functions in order to fit a linear model to data regarding possum physiology. Functions employ both Ordinary Least Squares and Least Absolute Deviation loss functions

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6. Maximum-Likelihood-Poisson Maximum-Likelihood-Poisson Public

   Maximizing the negative log likelihood function for a Poisson random variable in order to make predictions using a toy data set. Predictions are compared to those made using Ordinary Least Squares …

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