Logistic Regression | Linear Regression Vs Logistic Regression | Machine Learning | Data Science P1

Logistic Regression | Linear Regression Vs Logistic Regression | Machine Learning | Data Science P1

Chapters
0:00 Introduction
0:23 Linear Vs Logistic Regression No Regression
1:02 Linear Vs Logistic Regression Linear Regression 2 Predictor Variables
2:30 Linear Vs Logistic Regression Linear Regression 4 Relationship dependent and independent variable relationship between the dependent
3:04 Linear Vs Logistic Regression Linear Regression Maximum Likelihood Estimation
4:26 Linear Vs Logistic Regression No 6 Collinearity

Regression problem is when the output variable is real/continuous values such as height, weight, amount, age etc.
Classification problem is when the output variable is categorical.

All Playlist of this youtube channel
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1. Data Preprocessing in Machine Learning

2. Confusion Matrix in Machine Learning, ML, AI

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz

4. Cross Validation, Sampling, train test split in Machine Learning

5. Drop and Delete Operations in Python Pandas

6. Matrices and Vectors with python

7. Detect Outliers in Machine Learning

8. TimeSeries preprocessing in Machine Learning

9. Handling Missing Values in Machine Learning

10. Dummy Encoding Encoding in Machine Learning

11. Data Visualisation with Python, Seaborn, Matplotlib

12. Feature Scaling in Machine Learning

13. Python 3 basics for Beginner

14. Statistics with Python

15. Sklearn Scikit Learn Machine Learning

16. Python Pandas Dataframe Operations

17. Linear Regression, Supervised Machine Learning

18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics

19. Jupyter Notebook Operations

[RM-lbxw]

Great explanation. So glad that I found your channel 👌

[brajesh]

When ll you continue next videos of this series