I will teach python for machine learning and data science
Python Developer Building Real ML Solutions
About this Gig
Want to learn Python for Machine Learning the right way, without wasting weeks on random YouTube tutorials?
I'm an AI/ML researcher with a published IEEE paper and hands-on experience building real-world ML systems, computer vision, and AI-powered applications. I also served as a Section Leader for Stanford's Code in Place, teaching Python to learners from around the world, and volunteered as a trainer teaching Python to complete non-tech beginners, so I know how to break down complex concepts for any skill level.
What you'll learn:
- Python fundamentals for data work (NumPy, Pandas)
- Core ML concepts: regression, classification, model evaluation
- Using scikit-learn to build and test real models
- How to structure and complete your own ML project
Sessions are 1-on-1, live, and hands-on. You'll write code with me, not just watch. I'll also share notebooks, exercises, and resources after every session so you can practice on your own.
Whether you're a student prepping for coursework, a complete beginner, or someone stuck mid-way through self-learning ML, I'll tailor sessions to your level and pace.
Message me before ordering if you want a custom learning plan.
Lesson purpose:
Data science
Student age:
Teen (13–17)
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Adult (18–65)
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Senior (65+)
Development technology:
C/C++
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Python
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Django
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SQL
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Flask
FAQ
Do I need any prior programming experience?
No. The Basic package starts from scratch. If you already know Python, we can skip ahead to ML directly.
What tools will we use during sessions?
Google Colab or Jupyter Notebook, no setup needed on your end. I'll share all code and notebooks after each session.
Can you help with my university/college ML assignment or project?
Yes. The Premium package includes project mentorship, from dataset selection to model building and code review.
Are you available for flexible scheduling across time zones?
Yes, message me your availability and I'll confirm a time that works, including evenings/weekends.

