samjeffcoat,Sam Jeffcoat,samjeffcoat,github

I have completed

Courses: Python Programming, Statistics, Data Analysis & Visualization, Machine Learning, SQL & Analytics

Highlights: 600+ hours of coursework, 10 coding assignments, 4 projects (Web scraping, EDA, Tableau, Machine Learning)

My Projects

Lending Club ML Project using Python Link

Worked with Lending Club dataset from Kaggle containing 700k rows and 28 columns (Numerical and Categorical)
Created and trained Logistic, Random Forests, and Gradient Boosted trees using SciKit and XGBoost.
Obtained an accuracy of 90% on test dataset, after experimenting with 5 hyperparameters.

Exploratory Data Analysis and Visualization of NFL Play By Play Data Link

Processed and analyzed data for 50k+ rows and 350+ columns using Pandas
Created visualizations(scatter plots, bar charts, histograms, maps, etc) using Seaborn, Plotly & Folium
Teams with the most touchdowns in the NFL were the Kansas City Chiefs & Tampa Bay Buccaneers

Webscraping project on Pro Football Reference Link

Scraped 600 rows and 8 columns of football and fantasy stats from pro-football-reference.com
Built functions such as get_stats(), get_all_qbs() and write_csv() to scrape stats for each position
Stored data consisting of 600+ rows x 7 columns and into 2021-Fantasy-Leaders.csv using Pandas

Data Visualization Project Link

Analyzed Bookshop dataset and created new sheets Total Sales & average rating using Pivot feature
Created Dashboard for Sales attribute and Ratings attribute with bar charts and scatter plots
Etaion Shrdlu Press dominates publisher spending, but sales were close with Palimpest

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