TheDataPost - VideoAndMovie

Feature Scaling

6:56

Feature Scaling

Cross Validation

3:20

Cross Validation

Gradient Descent II

5:51

Gradient Descent II

Gradient Descent I

4:27

Gradient Descent I

Linear Regression Part II

6:07

Linear Regression Part II

Linear Regression Part I

3:11

Linear Regression Part I

Overfitting

1:02

Overfitting

Splitting Data

2:29

Splitting Data

Classification vs. Regression

1:21

Classification vs. Regression

Supervised vs. Unsupervised Learning

2:25

Supervised vs. Unsupervised Learning

Continuous vs. Discrete Values

1:07

Continuous vs. Discrete Values

What is Machine Learning?

1:14

What is Machine Learning?

Random Forests Explanation and Visualization

5:49

Random Forests Explanation and Visualization

Bias Variance Tradeoff

6:11

Bias Variance Tradeoff

DBSCAN Advantages and Disadvantages

2:35

DBSCAN Advantages and Disadvantages

K-Means Implementation and Parameter Tuning

4:39

K-Means Implementation and Parameter Tuning

K-Means Clustering Explanation and Visualization

3:29

K-Means Clustering Explanation and Visualization

DBSCAN Implementation and Parameter Tuning

6:10

DBSCAN Implementation and Parameter Tuning

DBSCAN Explanation and Visualization

3:17

DBSCAN Explanation and Visualization

K-Means Advantages and Disadvantages

3:13

K-Means Advantages and Disadvantages