1st lesson free
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PARTH
- Rate 72 BWP
- Response 1h
72 BWP/hr
Contact
1st lesson free
- Computer programming
- Python
- Programming languages
- SQL
- Artificial Intelligence
ML Engineer Teaches Python, Machine Learning, AI, and Linear Algebra with Practical Projects and Easy-to-Understand Explanations
- Computer programming
- Python
- Programming languages
- SQL
- Artificial Intelligence
Lesson location
About PARTH
Hi! I'm a Machine Learning Engineer passionate about making programming and AI easy to understand. I teach Python, SQL, Machine Learning, and mathematics for AI through simple explanations, practical examples, and hands-on exercises. Whether you're a beginner or a college student looking to strengthen your skills, I'll help you build strong fundamentals at your own pace. My goal is to make learning engaging, practical, and confidence-building!
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About the lesson
- Primary
- Junior Secondary
- Secondary School
- +20
levels :
Primary
Junior Secondary
Secondary School
Première
Standard 7
Diploma
Supérieur
Adult Training
Bachelor's Degree
Master's Degree
Diplomgrad
Doctorate
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Early Childhood education
Beginner
Intermediate
Advanced
Professional
Others
Children
- English
All languages in which the lesson is available :
English
My classes follow a structured, hands-on approach to Python and Machine Learning, taking you from the basics to practical projects.
1. Python for Data Science: Learn Python fundamentals, functions, data structures, NumPy, Pandas, and data visualization using Matplotlib and Seaborn.
2. Machine Learning Fundamentals: Understand supervised and unsupervised learning, data preprocessing, feature engineering, and model training using Scikit-learn.
3. Traditional ML Algorithms: Explore linear and logistic regression, decision trees, random forests, KNN, SVM, and K-Means clustering, including how they work and when to use them.
4. Model Evaluation: Learn evaluation metrics, cross-validation, overfitting, underfitting, and hyperparameter tuning to improve model performance.
5. Hands-On Projects: Build practical projects such as house-price prediction, customer churn classification, and customer segmentation, with an emphasis on real-world problem-solving and portfolio development.
My Teaching Approach
I combine simple explanations, coding demonstrations, and guided exercises to help you understand concepts rather than memorize them. I also help with debugging and adapt lessons to your pace and goals.
These classes are ideal for beginners, college students, and aspiring data professionals. No prior Machine Learning experience is required.
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Rates
Rate
- 72 BWP
Pack prices
- 5h: 310 BWP
- 10h: 650 BWP
free lessons
The first free lesson with PARTH will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- 72 BWP/h
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