What's included

• Customized Learning Plan:

  Develop a personalized curriculum based on your existing knowledge, goals, and areas of interest within ML and DL. Clearly define learning milestones and objectives.

• Fundamentals of Python for ML/DL:

  In-depth sessions on Python programming tailored for ML and DL applications. Hands-on exercises to solidify coding skills and understanding.

• Introduction to ML and DL Concepts:

  Comprehensive coverage of key concepts, algorithms, and architectures in both Machine Learning and Deep Learning. Practical insights into real-world applications and case studies.

• Hands-On Coding Sessions:

  Interactive coding sessions using popular ML/DL libraries such as TensorFlow and PyTorch. Collaborative coding exercises to reinforce theoretical knowledge.

• Project-Based Learning:

  Assist in conceptualizing and implementing ML/DL projects suited to your interests or industry. Provide guidance on project execution, troubleshooting, and optimization.

• Code Reviews and Feedback:

  Regularly review your code, provide constructive feedback, and guide improvements. Address queries and challenges encountered during the learning process.