Preston Lam's repositories
building_job_recommender_3
I built a job recommender for people 0-3 years out of college in non-technical roles. This recommender uses NLP and ML to parse your resume and return which job archetype you fit best into.
Building_a_job_recommender_2
I built a job recommender for people 0-3 years out of college in non-technical roles. This recommender uses NLP and ML to parse your resume and return which job archetype you fit best into.
Building-a-Job-Recommender
I built a job recommender for people 0-3 years out of college in non-technical roles. This recommender uses NLP and ML to parse your resume and return which job archetype you fit best into.
Creating-Prediction-Engine-for-Chicago-311-Serivce-Requests
In this project, I looked at Chicago 311 Service data and found that requests took far too long to fulfill (27 days avg). I then created a prediction algorithm to help the city forecast 311 requests and prepare accordingly.
Project-2--Predicting-Stock-Market-Prices-with-Regression
I scraped valuation metrics of 3000 stocks from yahoo finance and morningstar, then built a random forest regressor in an attempt to predict stock % increase. This project contains extensive data cleaning and feature engineering.
Project-3-Predicting-Loan-Defaults
I used a dataset from a taiwanese bank to predict whether a client would default using a random forest classifier. The project uses extensive feature engineering via SQLAlcehmy.
dsp
Metis Data Science Bootcamp - Official Prework Repository