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1. Modeling-Total-Phosphorus-Loading-from-Genesee-River-Basin-to-Lake-Ontario-Using-Artificial-Neural-N Modeling-Total-Phosphorus-Loading-from-Genesee-River-Basin-to-Lake-Ontario-Using-Artificial-Neural-N Public

   The objective of this study is to train an Artificial Neural Network (ANN) model with the data from a sub-watershed to estimate phosphorus loading. The trained ANN should have the potential to appl…

   Jupyter Notebook 1 1

2. Model-fitting-on-house-prices Model-fitting-on-house-prices Public

   This is a Kaggle challenge to fit regression models to house prices in Ames, Iowa using R.

   R 1

3. EDA-on-Yelp-Restaurant-data EDA-on-Yelp-Restaurant-data Public

   This is the basic data analysis and visualization of Yelp Restaurants dataset using MySQL and Python

   Jupyter Notebook 2

4. dog-breed-classification dog-breed-classification Public

   This project is part of the projects in Udacity Deep Learning Nanoprogram. It involves the application of human detector, train your own dog detector and apply pre-trained dog detector (choose the …

   HTML

5. Generate-Show-Scripts-using-LSTM Generate-Show-Scripts-using-LSTM Public

   In this project, TV show's scripts (.txt) are embedded to vector through word2vec for training the multi-layer LSTM RNN model (embedding layer+LSTM). It generates reasonable TV scripts. The data is…

   Jupyter Notebook 1

6. Temporal-Pattern-Anomaly-Detection-Using-Unsupervised-Models- Temporal-Pattern-Anomaly-Detection-Using-Unsupervised-Models- Public

   The purpose is to find the years with special phosphorus temporal patterns and what make them different from other years.

   Jupyter Notebook