Urgent Python ML Assignment Help

I have fallen several days behind on a set of Python-based programming and machine-learning assignments that live in Google Colab (links below). The notebooks already include starter code and task prompts, but a number of cells remain unfinished or are throwing errors. I need someone who can step in quickly, finish the required functions, debug the failing sections, and make sure each notebook runs top-to-bottom without issues. Google Colab notebooks 1. https://colab.research.google.com/drive/18BB85euuoJCsbrXxKYvZsbwHowp5796q?usp=sharing 2. https://colab.research.google.com/drive/1orVqjDZ7EJ1BX2S_uxbpdLJdU0H1g3Lz?usp=sharing 3. https://colab.research.google.com/drive/1OObWvX8W5xxL_RhulMSH4s4TwGmO7AtV?usp=sharing What’s involved • Programming assignments: implementing missing Python functions, cleaning up logic, ensuring correct output formatting. • Machine-learning assignments: completing model training/evaluation sections (likely scikit-learn, pandas, NumPy), fixing runtime or shape errors, and confirming metrics meet the notebook’s stated targets. Deliverables 1. Updated notebooks that execute without errors in Google Colab. 2. Inline comments where significant changes were made, so I can follow your reasoning. 3. A brief summary of fixes and steps needed to replicate results. Acceptance criteria The “Runtime → Run all” command must finish successfully on each notebook, producing the expected results or plots stated in the assignment prompts. If you are comfortable turning around tight deadlines and are fluent with Python, Colab, and common ML libraries, I’d love your help right away.