Канал: TheDataPost

Feature Scaling

Feature Scaling

Cross Validation

Cross Validation

Gradient Descent II

Gradient Descent II

Gradient Descent I

Gradient Descent I

Linear Regression Part II

Linear Regression Part II

Linear Regression Part I

Linear Regression Part I

Overfitting

Overfitting

Splitting Data

Splitting Data

Classification vs. Regression

Classification vs. Regression

Supervised vs. Unsupervised Learning

Supervised vs. Unsupervised Learning

Continuous vs. Discrete Values

Continuous vs. Discrete Values

What is Machine Learning?

What is Machine Learning?

Random Forests Explanation and Visualization

Random Forests Explanation and Visualization

Bias Variance Tradeoff

Bias Variance Tradeoff

DBSCAN Advantages and Disadvantages

DBSCAN Advantages and Disadvantages

K-Means Implementation and Parameter Tuning

K-Means Implementation and Parameter Tuning

K-Means Clustering Explanation and Visualization

K-Means Clustering Explanation and Visualization

DBSCAN Implementation and Parameter Tuning

DBSCAN Implementation and Parameter Tuning

DBSCAN Explanation and Visualization

DBSCAN Explanation and Visualization

K-Means Advantages and Disadvantages

K-Means Advantages and Disadvantages