Andrea Yoss – Medium

Published in Towards Data Science

·Dec 16, 2020

Transfer Learning using Pre-Trained AlexNet Model and Fashion-MNIST

Building CNN classifiers in Apache MxNet Gluon framework to classify articles of clothing. — Authors: Andrea Yoss and Caroline Harrison Introduction Since many of the best models use millions of training instances and take weeks to run on robust computational resources, it is difficult for the everyday deep learning enthusiast to train comparable models from scratch. Fortunately, we can incorporate parts of those models into…

Data Science

10 min read

Transfer Learning using Pre-Trained AlexNet Model and Fashion-MNIST

Data Science

10 min read

Apr 13, 2020

GetOldTweets3

How to bypass limitations of the Twitter Official API when scraping twitter data. — GetOldTweets3 is a free Python 3 library that allows you to scrape data from twitter without requiring any API keys. It also allows you to scrape historical tweets > 1 week old, which you cannot do with the Twitter API. Using GetOldTweets3, you can scrape tweets using a variety of…

Data Science

3 min read

Data Science

3 min read

Published in Analytics Vidhya

·Apr 12, 2020

Principal Component Analysis (PCA)

Conceptual deep dive with step-by-step implementation in numpy and sklearn. — “Finding patterns is easy in any kind of data-rich environment… the key is in determining whether the patterns represent noise or signal.” — Nate Silver Introduction Bias-Variance Tradeoff A typical issue students run into when fitting a model is balancing the model’s bias with its variance, known as the bias-variance tradeoff.

Linear Algebra

9 min read

Linear Algebra

9 min read

Apr 2, 2020

COVID-19: What does it mean to flatten the curve?

A brief look at COVID-19 infection rates in South Korea and Italy. — COVID-19 Situation Overview According to the World Health Organization (WHO), COVID-19, or “coronavirus disease 2019,” is a respiratory illness caused by a newly discovered coronavirus that is believed to have originated in Wuhan City, China, in December 2019. …

Coronavirus

4 min read

COVID-19: What does it mean to flatten the curve?

Coronavirus

4 min read

Published in The Startup

·Mar 28, 2020

Time Series Seasonal Decomposition

Using Seasonal Decomposition to Inform the SARIMA Model Selection of Soybean Prices in Python. — There are a variety of approaches you can use when working with time series data, such as linear models, ARIMA models, exponential smoothing methods, and recurrent neural networks (RNNs). …

Data Science

4 min read

Data Science

4 min read