The profile of Sina and their contact details have been verified by our experts
Sina
- Rate 206 GHS
- Response 1h
-
Students1
Number of students Sina has accompanied since arriving at Superprof
Number of students Sina has accompanied since arriving at Superprof
206 GHS/hr
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- 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 school
- Junior high school
- SHS 1
- +11
levels :
Primary school
Junior high school
SHS 1
BTS
University education
Adult Education
Master's degree
MBA
Pre school
Beginner
Intermediate
Advanced
Professionel
Child
- English
All 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
- 206 GHS
Pack prices
- 5h: 1,031 GHS
- 10h: 2,062 GHS
online
- GHS206/h
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