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About me: *Data Scientist * Certified Data Scientist with a passion for deriving insights from complex datasets. Proficient in data analysis and preprocessing, statistical analysis, modeling, visualization, machine learning techniques, and programming, to drive informed decision-making. Experienced in utilizing programming languages like Python for data manipulation and predictive modeling. Dedicated to solving real-world challenges through data-driven strategies. Collaborative team player with strong problem-solving skills, dedicated to driving data-driven innovation and impactful insights through continuous learning.
Total Score: 79
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 2: Machine Learning for Regression
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 3: Machine Learning for Classification
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 4: Evaluation Metrics for Classification
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 5: Deploying Machine Learning Models
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 6: Decision Trees and Ensemble Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 8: Neural Networks and Deep Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 9: Serverless Deep Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 10: Kubernetes and TensorFlow Serving
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Project submissions
Midterm Project
Project score: 14 Passed
Score: 23 = 14 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project