MUSA YILMAZ
Assistant Course Instructor at Siliconmade Academy- Claim this Profile
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Bio
Credentials
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Introduction of Statistics
CourseraJan, 2023- Oct, 2024 -
Introduction to Machine Learning in Production
CourseraJan, 2023- Oct, 2024 -
Deep Learning
CourseraNov, 2022- Oct, 2024 -
Deep Learning Specialization
CourseraNov, 2022- Oct, 2024 -
Advanced Learning Algoritihms
CourseraOct, 2022- Oct, 2024 -
Convolutional Neural Networks
CourseraOct, 2022- Oct, 2024 -
Machine Learning
CourseraOct, 2022- Oct, 2024 -
Unsupervised Learning, Recommenders, Reinforcement Learning
CourseraOct, 2022- Oct, 2024 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraSep, 2022- Oct, 2024 -
Neural Networks and Deep Learning
CourseraSep, 2022- Oct, 2024 -
Structuring Machine Learning Projects
CourseraSep, 2022- Oct, 2024 -
Supervised Machine Learning: Regression and Classification
CourseraSep, 2022- Oct, 2024 -
SQL For Data Science
CourseraAug, 2022- Oct, 2024 -
IELTS
British Council IELTS (International English Language Testing System)Aug, 2020- Oct, 2024
Experience
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Siliconmade Academy
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Türkiye
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Education
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1 - 100 Employee
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Assistant Course Instructor
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Oct 2022 - Present
As both a student and an instructor, I take artificial intelligence training at the siliconmade academy on weekends, and I teach in the studies held on Wednesdays. As both a student and an instructor, I take artificial intelligence training at the siliconmade academy on weekends, and I teach in the studies held on Wednesdays.
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Kaggle
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United States
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IT Services and IT Consulting
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400 - 500 Employee
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Data Science & Machine Learning Competitor
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Feb 2022 - Present
Responsibilities; •Data Science - The data that given for home price estimation has been adjusted to fit the machine learning model. And adjusting data has been modeled using Sklearn Regression Models such as GradientBoosting, RandomForest, XGB, LGBM, AdaBoost. •Machine Learning Engineering - Optimizations, Regularizations and Improvements of Model's essential functions Responsibilities; •Data Science - The data that given for home price estimation has been adjusted to fit the machine learning model. And adjusting data has been modeled using Sklearn Regression Models such as GradientBoosting, RandomForest, XGB, LGBM, AdaBoost. •Machine Learning Engineering - Optimizations, Regularizations and Improvements of Model's essential functions
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Ratata Technology
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Türkiye
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Software Development
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Volunteer Data Scientist & Machine Learning Engineer
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Feb 2020 - Jan 2022
I took part in this startup company as a Data Scientist & Machine Learning Engineer. Our goal was to create various useful machine learning ideas to ease and/or solve the problems we decided to work on. My role was the feature engineering the provided data with Python; NumPy, Tensorflow, Scikit Learn and being part in building machine learning models to solve the problems. I took part in this startup company as a Data Scientist & Machine Learning Engineer. Our goal was to create various useful machine learning ideas to ease and/or solve the problems we decided to work on. My role was the feature engineering the provided data with Python; NumPy, Tensorflow, Scikit Learn and being part in building machine learning models to solve the problems.
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Architect
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Jun 2017 - Aug 2017
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Education
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2013 - 2019
Istanbul Technical University
Bachelor's degree, Architecture -
2019 - 2021
Anadolu University
Associate's degree, Computer Science
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