📚 سرفصلهای آموزشی:
Python Crash Course
Python Data Analysis Libraries (Numpy, Pandas)
Python Data Visualization Libraries (Matplotlib, Seaborn)
Machine Learning Models from zero to hero:
Regression Models:
Linear Regression
Logistic Regression
Classification Models:
K Nearest Neighbors (KNN)
Decision Tree
Random Forest
Support Vector Machine (SVM)
Clustering Models:
K Means


💥 Course Features:

40 Hours of Class (16 Session each 2.5 Hours)
Complete Course from Scratch (With Tutorial on how to install needed software and code editors)
All datasets and notebooks will be saved and send to students
Practical Course with enough take home practices
Online Class
Scientific and Technical Support During the Course
Certification from IUST


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🆔@Computeronic