devinrshaw Goto Github PK

comparing-random-forest-and-keras-models-on-a-categorical-dataset-with-continuous-target-variable

Explore the efficacy of random forest and Keras neural network models on a dataset with categorical features and a continuous target. Compare performance and accuracy using Python.

devinrshaw

Config files for my GitHub profile.

exploring-and-evaluating-model-efficacy-on-data-salaries

Explore the efficacy of random forest and Keras neural network models on a dataset with categorical features and a continuous target. Compare performance and accuracy using Python. Check out the results and analysis in this GitHub project.

hate_detection_scraper

Script that provides a streamlined way to monitor online content for hate speech and maintain a record of flagged quotes.

hurricane-data-conversion-method

Data manipulation method to convert hurricane data into a summary format using pandas and geopandas for added utility to intial dataset

mybible

A bash script to journal and search through entires

nba-webscraper

This script webscrapes NBA data from the website basketball-reference.com based on user input. The data includes player statistics such as player name, rank, games played, points per game, etc. The cleaned data is saved as a csv file. The script uses the libraries requests, bs4 (BeautifulSoup), and pandas.

rsa-encryption

simple_noaa

A library that streamlines access to the NOAA dataset API with functions that utilize date and time for aggregation of data

survey_data_analysis

An analysis of government survey data from 2015 to 2022. Establishes large scale trends, identifies important metrics and finds agencies that have increased those metrics to outperform the large scale trends.

survey_dataset_creation

Combines multiple survey datasets with different formatting to create a standardized dataset that is used in my survey_data_analysis repository

testapi

This repository contains a Flask-based API designed to serve CSV data files in JSON format. It offers endpoints for accessing three different CSV files, each converted into a list of dictionaries and then serialized as JSON objects.

titanic_machine_learning_model

My first Kaggle competition, involving exploration, feature engineering and model selection to classify survival of passengers of the titanic based on the classic titanic dataset

weather-forecast-web-scraper

Simple weather forecast web scraper using Python, BeautifulSoup, and Pandas. Retrieves weather data and formats into a dataframe for analysis. My first project in data that introduced me to Python and how data works.

wildfire-local-climate-data-creation

Fire climate dataset creation from NOAA API based on location and time for use in machine learning model. Is the project that motivated the creation of the library simple_noaa.

worldpopulationnoteboook

A Jupyter Notebook project for real-time population data visualization and trend prediction. Fetches live global population data, creates insightful visualizations, and employs models for trend forecasting. Finds valuable insights into demographic patterns and explores the changing face of Earth's population.