Student Work (Thesis ) | 1TE742 Part 7 Sustainable Innovation in Industry | Uppsala University

Student Work (Thesis )|1TE742 Part 7 Sustainable Innovation in Industry | Uppsala University

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🚀 Video Details:
⚽ Dive into the start of a football analytics journey!
This video marks Part 1 of the Bachelor thesis at **KTH Royal Institute of Technology**, Sweden, under course **IL142X**.

🔍 The project builds a **predictive model using machine learning (Lasso regression)** to estimate transfer fees of professional football players. It considers contract details, performance data, and market dynamics — integrating real-world insights from **Goalunit AB**.

🎓 Program: BSc Information and Communication Technology
🏛️ University: KTH Royal Institute of Technology
📁 Course Code: IL142X
🌍 Country: Sweden
🎥 Series: Reels Upload (Part 1)

🧠 Key Insights:
– Transfer market complexity and valuation need
– Role of Goalunit’s Key Performance Index (KPI)
– Integration of contract + performance metrics
– Scope of data analytics in modern football

📌 Perfect for:
– Sports analysts
– Machine learning students
– Football fans & transfer market enthusiasts
– Data-driven talent scouts

🔔 Subscribe to follow the full research journey and applied data science for sports.

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