data science - Evan Marie Carr

🕸️ Web Scraping with Selenium and Beautiful Soup

This is my first article in a while. There are a couple of reasons for that. First, I have been working VERY hard on a substantial project that I am very excited about and have barely looked up from it to do much else. And secondly, a tree fell on

prophet

🔭 PROPHET: the good & the meh

Prophet, formerly known as fbprophet, is a time series prediction machine learning model that is praised for ease of use, functionality, and performance. I have seen it drastically outperform ARIMA and SARIMAX models, and so I decided to put it to the test with some challenging data. What I found

APIs

📈 Alpha Vantage API Overview

I spent some time recently working with the Alpha Vantage API for financial data, and while the experience left me slightly underwhelmed, there were still some worthwhile aspects of the API that I feel deserve acknowledgement. The first thing I really appreciate about Alpha Vantage is the people. When I

time series

💪 XGBoost Time Series Prediction

In the world of time series prediction, often LSTM models, as well as the newer trend toward transformers, are primarily what are thought of as leading edge. But I personally have a great admiration for XGBoost models and the raw power they offer, and there are times when XGBoost can

pytorch

◮ Ethereum Price Prediction with LSTM

The time series aspect of time series data can feel like a bit of a hurdle to jump over, and predicting stock and crypto prices is a whole other time series beast to tame. So in this article, I will walk you through the steps of creating a basic architecture

python

↔️ Navigation and Organization: Making Python Do the Work

I love just about anything that is logical, well-organized, and flows. And I get somewhat (or quite, depending on the level of the offense) frustrated with just about anything that is lazily arranged, illogically planned, or otherwise leaves me feeling like "you had ONE job!" While I know not everyone

data analysis

💰 Finance, Stocks, & Index Tracking with Python & Pandas

Think of this as a beginner's DEEP dive into finance, stocks, and index tracking by way of Python and Pandas, meaning that it stays fairly surface level, but it still covers a great deal of material in the process. I will be working with the Dow Jones Index and exhibiting

data analysis

Names and What They Say

An investigation into names, trends, and what they reflectGitHub Gist | Interactive Jupyter | PDF Notebook It has been a while since I becameas enmeshed with a set of data as I did with this one. While a huge part of me repeatedly found places where I could easily call the project

big data

📊 Name Popularity

My most recent project has been centered around the data.gov's API containing all of the names and their counts that represent all babies born and registered at birth in the United States. It is a fascinating body of data. And while most of my work has been on aggregating

SQL

😀 JSON to Pandas to SQL: "The Happy Family"

In the world of big data, it is inefficient to work with individual, large files that contain the entirety of the data we are working with. It can become slow and unmanageable. So it is often more efficient and economical to save the large amounts of data in a long-term,

API

🧹 APIs, JSON, and Data Cleaning

Real world data is NEVER as clean as the nicely prepared files data science nuts like to download for projects from Kaggle and the like. But the plus side to real world data is that there are no limits to the data available, as long as you know how to

pandas

🎬 The Power of Pandas! 🎥

(To view the complete notebooks related to this project, please visit my resources page, and navigate to the 12 Advanced Projects: Data Science with Pandas section.) There is A LOT to Pandas, and because the possibilities are so vast when working with this essential library, sometimes it is hard to

gans

🎥 Celebrity GAN: Generating Faces Out of Stars

Reformed Opera Singer Takes on GANs:A year ago, I was an opera singer, a voice-teacher, and a songwriter; i.e. many facets of who and what I am would have me labeled the creative type. And I do not think many people realize how much creativity there is in

gans

🌷 My GAN Gave Me Flowers

Not very long ago, I began working with GANs. After about 10 min into my first project, and I was already in love. And for me, it is not about what I can make with it as much as having the visual representation that shows me every epoch along the

neural networks

👩🏻 Regression with Images

Recently, I have been spent a lot of time on the Fast.ai Practical Deep Learning for Coders course, and at the same time I have been delving more deeply into the inner structures and workings of neural networks with Jovian's Deep Learning: Zero to GANs. Experiencing both of these

resnet

Visual / Code Map of Resnet

I put this image together tonight as I was trying to internalize all the things that go on in a Resnet model. I am the kind of person who has to feel like I know something intimately to feel like I KNOW it at all. So this code and I

neural networks

🐩 Teaching a Model 37 Dog and Cat Breeds

I find it hard not to be intimidated when a neural network model can differentiate between dog and cat breeds that I honestly just cannot. But instead, I just get really excited about the possibilities and potential and am just grateful for all the work that so many amazing humans

machine learning

🛳️ The Titanic: Predicting Survival

I have been working A LOT with Fast.ai lately, and I am loving it. I am learning so many new approaches that I feel like get overlooked by many in the field when discussions arise. But I have to admit: I was a little nervous when it came to

deep learning

🐻 Deep Learning Image Recognition: 3 Projects in One

I have been working tirelessly on perfecting my skill at image classification, thanks to my new fascination with fast.ai and the work of Jeremy Howard and his team. Today, I made three...almost four...web apps. I got to know HuggingFace.com quite well, and I honestly have had

fastai

🤯 fast.ai & Dog Breed Image Recognition via Transfer Learning

Deep learning. Transfer learning. Mind-blowing! How is fast.ai not EVERYWHERE?! I have been working with neural networks for a little while now. When I was introduced to the practice, I fell in love immediately. So I have been immersing myself all day every day, completing and compiling my own

neural network

% PyTorch Neural Network: a Look at Life Expectancy with 95.86% Prediction Accuracy

COMPLETE NOTEBOOK - PDF ➥ INTRODUCTION:This notebook is a journey with PyTorch's neural network technology and a custom class linear regression model with the objective, or destination of this journey, of predicting life expectancy as accurately as possible using the quite thorough dataset from the World Health Organization with comprehensive

deep learning

🔥 PyTorch: It's Python on FIRE! 🔥

PyTorch is an open source machine learning library that works directly with Python that to make neural network modeling quick and painless. As soon as I met PyTorch, I knew immediately that it was going to join the collection of my absolute most favorite libraries, along with NumPy, Pandas, and

sales analysis

📊 Sales Analysis and Visualization in Python

You can also work with this notebook interactively here (just click "Run" and choose either on Binder or on Google Colab), or view as PDF here. This is a scrollable notebook version, complete with documentation and explanation:

nlp

🧠 NLP and TensorFlow: Text Prediction and Generation

I spent a great deal of time in the last couple of days diving more deeply into deep learning. And I LOVE it! The possibilities are only as limited as my own imagination, and therefore, they are truly infinite. Well, they are as infinite as my ability to stay awake.

covid

🦠 Long-Covid Data Investigation

* Disclaimer: I am not now, nor have I ever been an anti-vaxxer. This is a story, through real data, of my family's struggle with long-covid and the drastic and mysterious reaction my husband's body has had to both the covid virus as well as the vaccine. I am vaccinated and