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data analysis

A collection of 18 posts

data analysis

🏅 The Olympics: Deep Data Analysis

This is a comprehensive project on data import, data cleaning, data merging, and statistical analysis, as well as advanced data visualization with Seaborn. The data for this project is incredibly interesting and provocative, covering all of the Olympic medal-winning athletes from the beginning of the Olympics up through recent games.

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

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

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:

data visualization

📈 Au Tableau: a journey from code to drag-n-drop

I danced with Tableau recently, and it was...interesting. And no, that's a demeaning use of "interesting". It just is what it is. Here's the thing: I have always implemented my visualizations via my lovely friends such as Python, Matplotlib, Pandas, Seaborn, and Plotly. And as much as I LOVE

SQL

📚 SQL-la-la-la!

I must admit: having spent so much time with Pandas and all its eloquence when dealing with data, it was hard for me to go back and brush up on my SQL. But I did it. It is just one of those things that I need to be good at,

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.

data science

🚕 NYC Taxi Prediction: 1.5 million+ rows of data 🫣

This was the most intense project I have completed thus far. And I guess that would be appropriate! It is my final for my current course, Machine Learning: Zero to GBMs at Jovian.ml.

codng

👩🏻‍💻 A day of dynamic programming...OH MY!

Well, THAT was a day! It started out with me saying that I was not going to continue my Linked In Learning subscription, because after going through 4-5 courses and getting certificates and skills on my profile, I found that I was unimpressed with the courses I perused and considered.

australia

🇦🇺 Australian Rainfall Prediction

It is amazing how many hours one can spend with data and get...well...50 cells along in an ENTIRE day! But I did learn a lot about what one CAN and canNOT do to sweet talk decision trees and random forest models. I tried and tried to get data

plotly

📊 Plotly: the great and the disappointing

(Jupyter Notebook link for this project) I was a BUSY girl today! I just spent an entire Sunday, as in a whole 10 and a half hours, learning the ins and outs of Plotly and some very cool dynamic data visualization. I also ran into some GIGANTIC road blocks in

project

🛸 Finding Patterns in UFO Sightings Data

(12 September 2022) The following notebook contains the entire project and all commentary and descriptions. Enjoy!