Sina - Machine learning tutor - Montreal
Sina - Machine learning tutor - Montreal

Sina profile and its contact details have been verified by our experts

Sina

  • Rate R303
  • Response 1h
  • Students

    Number of students Sina has accompanied since joining Superprof

    1

    Number of students Sina has accompanied since joining Superprof

Sina - Machine learning tutor - Montreal

R303/h

See Machine learning tutors

Unfortunately, this tutor is not available

  • Machine learning

PhD Student at ÉTS. More than five years of experience in Data Analysing. Teaching in English and Persian.

  • Machine learning

Lesson location

About Sina

I have teaching experiences for years from being a Teaching Assistant at a university and instructor at a company. I am a hard-working and responsible person and I enjoy helping others by teaching, that is why I am pursuing PhD to become a professor one day. I believe that based on my background and interest, I would work productively and contribute positively as a Tutor.

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +9
  • levels :

    Primary

    Secondary

    Matric/GCSE

    BTech

    Adult education

    Masters

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

If you already familiar with Python, the Machine Learning course plan is:

Data Preprocessing
Regression
• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Support Vector Regression SVR
• Decision Tree Regression
• Random Forest Regression
• Evaluating Regression Models Performance
Classification
• Logistic Regression
• K-Nearest Neighbors K-NN
• Support Vector Machine SVM
• Kernel SVM
• Naive Bayes
• Decision Tree Classification
• Random Forest Classification
• Evaluating Classification Models Performance
Clustering
• K-Means Clustering
• Hierarchical Clustering
Dimensionality Reduction
• Principal Component Analysis PCA
• Linear Discriminant Analysis LDA
• Kernel PCA
Model Selection Boosting
• Model Selection
• XGBoost

Or we can start from this course:
Python for Data Analysis and Visualization

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Rates

Rate

  • R303

Package rates

  • 5h: R1517
  • 10h: R3033

online

  • R303/h

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