Mode
Offline / Online / Weekend
Duration
4 Hours
Who Should Enroll
Working professionals, College students, Junior Programmers
Prerequisites
No prior knowledge is needed
Program Objectives
This short course will introduce students with what goes in Machine learning and how to write brief programs in Python in Jupyter notebook
Learning Objectives
With this course students will learn fundamentals of machine learning and they will be able to decide if they wish to pursue a career in machine learning.
Key Topics
- Machine learning fundamentals
- Mean, Median, Mode and Standard Deviation
- Percentile
- Data Distribution
- Scatter Plot, AUC/ROC Curve
- Linear Regression, Polynomial Regression, Multiple Regression, Logistic Regression
- Decision Tree
- Confusion Matrix
Faculty and Resources
- Taught by experienced professionals
Certification
Upon completion, participants will receive a certificate of Participation in Machine Learning using Python
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Course Features
- Lectures 0
- Quizzes 0
- Duration 4 hours
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
