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Utilize advanced machine learning algorithms to predict song popularity and discover top song recommendations across various genres. Dive into interactive visualizations and data-driven insights for a deeper understanding of music trends. Perfect for curating playlists and enhancing listener experiences.

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data-visualization interactive-analysis jupyter-notebook machine-learning music-analytics playlist-curation python recommendation-system song-popularity-prediction spotify-api

song_popularity_prediction's Introduction

About Me

  • I am a passionate IT enthusiast and aspiring cybersecurity professional, committed to integrity, vigilance, and continuous improvement in the evolving landscape of information security. With a Bachelor’s degree in Computer Science, my experience encompasses network engineering, technical support, and software development, underpinned by a strong ethical framework essential in cybersecurity. I am actively enriching my expertise through ongoing education and certification pursuits, including areas like threat intelligence, risk assessment, and data protection.

  • My goal is to leverage this diverse experience in dynamic IT roles, particularly in cybersecurity, where I can apply my skills in analyzing complex security challenges, developing robust defense strategies, and fostering a culture of security awareness. Eager to explore the intersections of technology and problem-solving, I am driven by a deep sense of responsibility to protect digital assets and information, and am excited to contribute to a team that values proactive defense, innovative problem-solving, and collaborative resilience against cyber threats.

👨‍💻 Software Development Projects:

🏅 Certifications

💻Skills & Technologies

  • Network Engineering & Troubleshooting
  • Cybersecurity Practices
  • Broadcast System Integration
  • Risk Management & Safety Compliance
  • Java, Python, JavaFX, SQL
  • Machine Learning & Data Analytics

🤳 Connect with me:

EricJacobs | Twitter EricJacobs | LinkedIn

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