Data Scientist Fellow | Certification
o 12-week project-oriented curriculum focused on Python, Statistics, complex machine learning algorithms & models, databases, and data presentation techniqueso Conceptualized and presented 5 unique projects on the topics of Exploratory Data Analysis, Regression, Classification, Natural Language Processing, and Recommendation systemso Created visual presentations of projects via edited videos, HTML/CSS web apps, and slideso Blog:… Show more o 12-week project-oriented curriculum focused on Python, Statistics, complex machine learning algorithms & models, databases, and data presentation techniqueso Conceptualized and presented 5 unique projects on the topics of Exploratory Data Analysis, Regression, Classification, Natural Language Processing, and Recommendation systemso Created visual presentations of projects via edited videos, HTML/CSS web apps, and slideso Blog: https://fredlam1337.github.io/Highlights:User-Based Recommendation using MyAnimeListo Requested data from MAL using an open-source API and performed a fit, test through a Singular Vector Decomposition Algorithm, which returned closely related predictions based off user comparisons and sets them up to be transformed into hard recommendationso Designed, created, and deployed the recommender onto a live web app using Streamlit and Heroku that allowed users to filter through the recommendation outputso https://youtu.be/gOaKJz5c5mMWin/Loss Predictor for Teamfight Tactics Season 2o Collected data via a source pulled from Riot Games’s API and performed multiple fit, test trials on the cleaned-up dataset using Classification ML Algorithmso Finalized on using Random Forest and transferred the model to a Flask app that allowed users to create a custom team and output their win likelihood, as well as a hard win/loss prediction, to determine the strength of their teamo https://youtu.be/llteOGe8z44 Show less
