Jacob Dodd's repositories
awesome-evolutionary-programming
Curated list of resources for genetic and evolutionary programming
Facebook-Metrics-Prediction
Analysis and Modeling of the UCI Facebook Metrics Dataset
Data-Analysis-Portfolio-Projects
Short Python data analysis projects using the pandas, scikit-learn, seaborn, matplotlib.pyplot, and numpy libraries in jupyter notebooks.
Baseball-Batting-and-Salary-Analysis-In-Python
Project for Udacity's Data Analyst Nanodegree. Project that analyzed salary and batting trends of MLB Players since 1985 using Python.
City-Database
Build a City Info database from different sources using Python, Airflow, Spark, and Redshift.
Draft-Simulator
Simulation of American Football drafts in python
Postgres-ETL
ETL of json files based on Million Song Dataset into star-schema Postgres database.
2016-Alabama-Presidential-Campaign-Contributions
Analysis of 2016 Presidential Campaign Donations from Alabama in R.
Airflow-AWS-Pipeline
Loading of S3 files stored as json/csv into Redshift analytics tables.
Spark-S3-DataLake
ETL of json files stored in S3 into clean analytics tables using Spark.
AWS-Data-Warehouse
Moved, cleaned, and transformed data stored in S3 as json to Redshift.
Cassandra-ETL
ETL of event logs into analytics tables in Cassandra.
DataVizProject-Tableau
Analysis of yearly Flight Delay trends in Tableau.
distance-2places-python
Function used to find distance between two places (miles & km) using python. One my first projects.
Enron-POI-Classifier
Classification of persons of interest in the Enron Fraud case using their emails and financial information.
Film-Director-Gender-Analysis
Analyzing the careers and trends of female film directors with respect to male directors.
Housing-Regression
Predicting home sale prices of Kaggle's housing prices dataset
lifelines
Survival analysis in Python
Machine-Learning-Projects-and-Notes
Machine Learning projects and my notes from Udacity's Data Analyst Nanodegree program
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Stroop-Effect
Statistical Analysis of Stroop Dataset in R. Data was obtained from Udacity, completed as part of my Data Analyst Nanodegree program.
Wrangle-Open-Street-Map
Data Wrangling Project, part of my Udacity Data Analyst Nanodegree. I cleaned Open Street Map XML data using Python, then loaded clean datasets into a SQLite database.