I will teach you machine learning with python live classes
Expert Tutor in Data Science, ML with python and Wordpress Website Developer
About this Gig
Become Job-Ready in Machine Learning with Python Live, 1:1 Online Training
If you are serious about becoming job-ready in Machine Learning, this guided program gives you a structured path from zero to confidence in minimam of 130 sessions, taught live 1-1 sessions, not a prerecorded video.
WHAT YOU GET
- 18 structured modules, Beginner -> Intermediate -> Advanced
- 130 live 1:1 online sessions (1 hour each)
- Python taught from scratch no prior coding experience needed
- Full Data Science stack.
- Statistics & Probability for ML, explained simply
- Data Preprocessing.
- Model Evaluation.
- Model Deployment basics (Pickle, Joblib)
- 5 real hands-on projects and a Capstone End-to-End ML Project.
- 1:1 mentorship, live feedback on every assignment
- Resume guidance + mock interview prep
PREREQUISITES
- Basic computer skills that's it
- No prior Python or Machine Learning knowledge required
HOW IT WORKS
Live class -> guided practice (code along with me) -> assignment feedback -> project milestone. Every module builds toward your final portfolio.
Message me before ordering so we can align on your schedule, current level,
and goals to keep the mentorship genuinely 1:1
Lesson purpose:
AI
Student age:
Teen (13–17)
•
Adult (18–65)
Development technology:
Python
•
SQL
My Portfolio
FAQ
Do I need any prior programming experience?
No. Python is taught completely from scratch starting in the very first session. You just need basic computer skills — being comfortable installing apps and following along in a live class is enough.
Do I need to know Machine Learning or AI concepts before starting?
Not at all. zero prior ML or AI knowledge. We start with "What is AI?" in Session 1 and build up step by step through Python, statistics, and ML fundamentals before touching any algorithms.
Do I need a strong math or statistics background?
No advanced math is required. We cover the statistics and probability you actually need for ML (mean, variance, correlation, normal distribution, etc.) inside the mentorship itself — basic logic and comfort with numbers is enough to get started.
What software or tools do I need to install beforehand?
Nothing complicated — just a computer that can run Python. We'll set up Jupyter Notebook, Google Colab, and VS Code together in session 2, so you don't need anything installed before class starts.
Is this suitable for complete beginners, or should I already have some experience?
It's specifically for complete beginners — university students, fresh graduates, and career switchers with zero background. If you can follow live instructions and are willing to practice a few hours a week, you're ready to start

