Suleyman Cem Karaman
HAS SUCCESSFULLY COMPLETED
A 600-hour online course that covers Machine Learning, Recommendation Systems, Time Series Analysis and Social Network Analysis in Python. Suleyman Cem Karaman participated in weekly live 1:1 mentoring sessions with an industry-experienced data scientist, and successfully completed two final projects, "Improving Profitability of Winter Resorts" and "US Adult Income Classification" 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
Silvia Seceleanu
Data Science Mentor, Springboard
Silvia Seceleanu
Verified Certificate of Completion 32856912 | Completion May 25, 2021
CEO and Co-Founder, Springboard
Certificate of Completion
Suleyman Cem Karaman
Data Science Career Track
Issued on
May 25, 2021
Expires on
Does not expire