1st class free
Moradi profile and their contact details have been verified by our experts
Moradi
- Rate ₹1,595
- Response 1h
₹1,595/hr
Contact
1st class free
- Maths
- Algebra
- Statistics
- Logic
- Algorithms
PhD Candidate Tutor: Practical Machine Learning Fundamentals (Python) Understand ML Clearly: Models, Metrics, Overfitting (Python) Build Your First ML Model (Python + scikit-learn) — Step-by-step - sh
- Maths
- Algebra
- Statistics
- Logic
- Algorithms
Class location
About Moradi
I’m a Machine Learning PhD candidate in Computer Science based in Vancouver, with 5+ years of applied data science experience and 3+ years supporting university instruction through labs/tutorials, assignments, grading, and project mentoring. I enjoy teaching and explaining ML concepts clearly, and I focus on practical skills that learners can immediately use in projects, school, or work.
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About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +11
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Class 11
Adult Literacy
Undergraduate
Masters
PhD
Other
MBA
Kindergarten (LKG, UKG)
- English
All languages in which the class is available :
English
In lessons, we focus on the foundations that actually matter:
ML basics: supervised vs unsupervised learning
core models (e.g., regression, classification, trees) using scikit-learn
evaluation & metrics, cross-validation, and avoiding common mistakes (overfitting, data leakage)
interpretability and responsible ML basics
building an end-to-end workflow: data → model → evaluation → explanation
I adapt the pace to your level (beginner to intermediate). I’ll also help you apply what you learn to solve real-world problems and think about them with a data-science mindset—how to frame the question, choose the right data, define success metrics, and communicate results. You’ll leave with working code, notes, and a clear practice plan.
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Rates
Rate
- ₹1,595
Pack prices
- 5h: ₹5
- 10h: ₹10
online
- ₹1,595/hr
free classes
This first free class with Moradi will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
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