The data science track includes multiple carefully crafted courses. These include
- Introduction to Python for Machine Learning, Regression in Machine Learning, Classification in Machine Learning, Neural Networks, Image Recognition, and Object Detection, Practical Time Series Analysis, and a capstone project.
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Team XGBoost
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Topic: Football Events Analysis
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Project Description
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A football game generates many more events and it is very important and interesting to take into account the context in which those events were generated. This dataset should keep sports analytics enthusiasts awake for long hours as the number of questions that can be asked is huge.
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Machine Learning: Classification - Managing the Quality Metric of Global Ecological Footprint
- Linear Classification and Logistic Regression
- Measuring_Classification_Performance *
- Multiclass_Classification
- Tree-Based Methods and The Support Vector Machine
- Ensemble_Methods
- Project
- Premier Project(Football Events)
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Introduction to Artificial Neural Network & the Keras Framework
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Object Detection - Multi-Object Classification plus Localization
Practical Time Series Analysis & Forecast