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Fully Sponsored 4-Week Machine Learning Series with Rotich Kibet

Are you ready to take your first step into Machine Learning (ML)?
Join Rotich Kibet for an interactive 4-week learning experience designed to help you understand and apply the core concepts of machine learning through practical, hands-on sessions.

Whether you’re new to data science or looking to strengthen your foundation, this series will walk you through essential ML algorithms — from K-Nearest Neighbors (KNN) and Decision Trees to Neural Networks.

🧠 What to Expect

Over the next four weeks, you’ll:

  • Learn how popular machine learning algorithms work.
  • Gain hands-on exposure to real projects.
  • Apply concepts through guided, practical sessions.
  • Receive mentorship and feedback from Rotich Kibet to help you upskill or transition into a data-driven career.

Each week builds upon the last — ensuring you develop not just understanding, but real confidence in applying ML techniques.

🗓️ Schedule

🕗 Every Tuesday and Wednesday
🕘 8:00 PM – 9:00 PM (EAT)
📅 Duration: 4 Weeks
📍 Format: Online / Interactive sessions

For the next four weeks, Rotich Kibet will host live upskilling sessions for machine learning enthusiasts — perfect for anyone looking to strengthen technical skills or explore data-driven career paths.

🎯 Who Should Join

This series is ideal for:

  • Students curious about data science or AI.
  • Developers wanting to explore machine learning fundamentals.
  • Professionals looking to upskill or transition into analytics roles.
  • Anyone who wants a structured, practical introduction to ML.

No prior machine learning experience is required — just a learning mindset.

📝 How to Register

If you’d like to join Click Here to express your interest and get notified once sessions begin.

Take the next step — this is the next step toward understanding how intelligent systems learn, predict, and transform data into insights.

About The Author

Tech Group Kenya

tech community connecting developers, students, startups, and tech professionals across Kenya.

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