This repo includes projects and assignments made within the Machine Learning Summer Bootcamp.
The free summer camp, which will be organized for undergraduate or graduate students without any income, will be held with the hybrid education model of Miuul. All the development stages of a machine learning project will be explained in this camp, where participants will be provided with the support of mentors who have experience in different national and international companies, as well as access to the materials to be presented within the scope of the learning process.
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Python Programming
- Module 1 (July 1 - 7, 2022)
- Important Lecture Notes
- Alternating Enumerate
- Create dictionary with dataframe
- Exercises related to dataframe
- Interview Questions
- Project Solution
- Important Lecture Notes
- Module 2 (July 12 - 17, 2022)
- Module 1 (July 1 - 7, 2022)
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Feature Engineering (July 18 - 24, 2022)
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Machine Learning - Module 1 (July 25 - 31, 2022)
- Lecture Notes
- Introduction to Machine Learning
- Linear Regression
- Logistic Regression
- Capstone Projects
- Lecture Notes
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Machine Learning - Module 2 (August 1 - 7,2022)
- Lecture Notes
- KNN
- Classification and Regression Tree (CART)
- Advanced Tree Methods
- Imbalanced Datasets
- Capstone Projects
- Lecture Notes
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Machine Learning - Module 3 (August 8 - 14, 2022)
- Lecture Notes
- Unsupervised Learning
- Machine Learning Pipeline
- Capstone Projects
- Lecture Notes
- Capstone Project - 1 :Calculating Potential Customer Yield with Rule-Based Classification
- Capstone Project - 2 : Diabetes Feature Engineering
- Capstone Project - 3 : Telco Customer Churn Feature Engineering
- Capstone Project - 4 : Baseball Salary Prediction with Machine Learning
- Capstone Project - 5 : Creating a House Price Prediction Model
- Capstone Project - 6 : Creating a Customer Churn Prediction Model
- Capstone Project - 7 : Customer Segmentation with K-Means