Overview
Dive into a comprehensive 3-hour Hindi tutorial on Classification Algorithms, covering essential supervised learning techniques. Explore various classification methods including decision trees, logistic regression, support vector machines, and naive Bayes classification. Learn both theoretical concepts and practical implementations using Python on real datasets. Master linear regression, logistic regression, naive Bayes algorithm, decision trees, random forests, and support vector machines through detailed explanations and hands-on coding examples. Gain valuable skills in identifying categories of new observations based on training data, applicable across multiple industries and data science roles.
Syllabus
- Linear Regression.
- Logistic Regression with implementation in Python.
- Naive Bayes Algorithm with implementation in Python.
- Decision Tree with implementation in Python.
- Random Forest with implementation in Python.
- Support Vector Machine with implementation in Python.
Taught by
Great Learning