Samuel Castillo
HAS SUCCESSFULLY COMPLETED
A 600-hour online course that covers Machine Learning, Recommendation Systems, Time Series Analysis and Social Network Analysis in Python. Samuel Castillo participated in weekly live 1:1 mentoring sessions with an industry-experienced data scientist, and successfully completed two final projects, "Global Terrorism Preparedness LightGBM Classification Model" and "Deep Learning Sentiment Analysis of AirBNB Reviews" that were reviewed by an independent industry expert.
Data Science Career Track
Mini-Projects Completed
Topics Covered
Three Exploratory Data Analysis projects
Linear & Logistic Regression
Time Series Analysis
Recommender Systems
Naive Bayes
Customer segmentation using clustering
MapReduce with Spark
Programming in Python
Software engineering principles
Data Wrangling
Inferential Statistics
Machine Learning
Data at Scale
Data Storytelling
Recommender Systems
Time Series Analysis
Social Network Analysis
Gautam Tambay
Ale Berbesi
Data Science Mentor, Springboard
Ale Berbesi
Verified Certificate of Completion 110319356 | Completion July 25, 2024
CEO and Co-Founder, Springboard
Certificate of Completion
Samuel Castillo
Data Science Career Track - Foundations to Core
Issued on
July 25, 2024
Expires on
Does not expire