A bootcamp program covering the following topics from basic to advanced for anyone who wants to learn data science and machine learning.
| Python Programming for Data Science (Week 1-2-3) |
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| Configure a Virtual Environment |
| Data Structures |
| Functions |
| Conditions |
| Loops |
| Comprehension (List-Dict) |
| Data Analysis with Python (Numpy Pandas) |
Project
- Rule-Based Classification
| CRM Analytics (Week 4) |
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| CRM Analytics |
| RFM Analytics |
| Customer Lifetime Value |
| Customer Lifetime Value Prediction |
Projects
- Flo RFM Analysis
- Flo CLTV Prediction
| Measurement Problems (Week 5-6) |
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| Rating Products |
| Sorting Products |
| Sorting Reviews |
| AB Testing |
Project
- Rating Product & Sorting Reviews in Amazon
| Recommendation Systems (Week 7) |
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| Association Rule Learning |
| Content Based Recommendation |
| Item Based Collaborative Filtering |
| User Based Collaborative Filtering |
| Model Based Matrix Factorization |
Projects
- Association Rule Based Recommender System
- Hybrid Recommender System
❗️ A break is given in the 8th week.
| Feature Engineering (Week 9) |
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| Outliers |
| Missing Values |
| Encoding Scaling |
| Feature Extraction |
Projects
- Telco Customer Churn Feature Engineering
- Titanic Feature Engineering
| Machine Learning (Week 10-11-12-13) |
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| Basic Concepts |
| Lineer Regression |
| Logistic Regression |
| KNN |
| CART |
| Advanced Tree Methods |
| Unsupervised Learning |
| Machine Learning Pipeline |
Projects
- Titanic Machine Learning
- Diabetes Feature Engineering & Machine Learning
- House Prices - Advanced Regression Techniques
- Flo Machine Learning
- Scoutium Classification with Machine Learning
| SQL (Week 14) |
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