- π Iβm currently working on studying Data Science at Jovian.
- π± Iβm currently learning Machine Learning.
- π« How to reach me: samjeffcoat@gmail.com
- π¨π»βπ» Connect with me: Twitter LinkedIn
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