maddieemihle/machine-learning-emotional-training

This project explores the development of machine learning models to classify human facial expressions using the FER2013 dataset. It evaluates various architectures, including VGG, ResNet, EfficientNet, and custom CNNs, to identify emotions from facial images.

Language: Jupyter Notebook - Size: 60.9 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

maddieemihle/Home_Sales

A PySpark-powered analysis of real estate trends using home sales data. This project explores average prices by year, room configuration, and property features, while demonstrating SparkSQL, caching, and partitioning techniques in a scalable data pipeline—all within Google Colab

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

maddieemihle/deep-learning-challenge

Developed a deep learning model using TensorFlow to analyze a dataset of 34,000+ organizations and predict funding success. This project demonstrates expertise in machine learning, neural networks, data preprocessing with Pandas, and Python programming.

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

maddieemihle/credit-risk-classification

Build and evaluate machine learning models to predict credit risk

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maddieemihle/CryptoClustering

Using K-means clustering to predict if cryptocurrencies are affected by 24-hour or 7-day price changes. Also to investigate the impact of dimensionality reduction using PCA on clustering outcomes.

Language: Jupyter Notebook - Size: 464 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

maddieemihle/Citi-Bike-Data

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

maddieemihle/major-city-visualization

Language: Jupyter Notebook - Size: 95.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

maddieemihle/leaflet-challenge

Interactive global visualization of earthquakes, based on longitude and latitude, derived from U.S. Geological Survey earthquake data. Magnitude is indicated by data markers and further information is displayed on each earthquake when mouse is hovered.

Language: JavaScript - Size: 9.77 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

maddieemihle/belly-button-challenge

Interactive dashboard analyzing microbial species found in belly buttons.

Language: JavaScript - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

maddieemihle/Crowdfunding_ETL

Project 2: building an ETL pipeline using Python, Pandas, and either Python dictionary methods or regular expressions to extract and transform the data.

Language: Jupyter Notebook - Size: 181 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

maddieemihle/nosql-challenge

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

maddieemihle/mars-web-scraping

A full web-scraping extraction and analysis of cleaning and visualizing data regarding weather on Mars.

Language: Jupyter Notebook - Size: 216 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

maddieemihle/sqlalchemy-challenge

Basic climate analysis using SQLAlchemy, Python, and Flask to further explore climate data in Hawaii.

Language: Jupyter Notebook - Size: 446 KB - Last synced at: 28 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

maddieemihle/SQL-challenge

Research project using data modeling, data engineering, and data analysis to create a database of employees hired at Pewlett Hackard in the 1980s and 1990s.

Size: 7.92 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

maddieemihle/python-api-challenge

A visual analysis examining weather changes and ideal vaction spots using APIs, linear regression, r-values, geoViews, and Geoapify. Results were used to create a map displaying the most pleasant vacation destinations.

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

maddieemihle/pandas-challenge

Python analysis to create and manipulate school and standardized test data. Scores are calculated, grouped, aggregated, summarized, and organized using pandas.

Language: Jupyter Notebook - Size: 613 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

maddieemihle/python-challenge

Creating a Python script that analyzes financial records and election results

Language: Python - Size: 1.8 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

maddieemihle/excel-challenge

Percise analysis using Excel to format and analyze supplied crowdfunding data.

Size: 409 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

maddieemihle/VBA-challenge

Cleaning and organziing stock data using VBA in Microsoft Excel

Language: VBA - Size: 18.3 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

maddieemihle/matplotlib-challenge

Visual analysis examining the tumor development with differnt drug treatments with mice and the tumor regression.

Language: Jupyter Notebook - Size: 431 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0