Source
https://www.udemy.com/course/25-key-machine-learning-algorithms/
Category
File Size
815 MB
Publisher
udemy
Updated
February 13, 2025
Description
Do you want to understand machine learning algorithms and how artificial intelligence works but don’t know where to start? Or perhaps you already have some knowledge and want to deepen your understanding of AI-driven algorithms?
– This course is exactly what you need!
In this course, you’ll master 25 key machine learning algorithms:
- Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Decision Trees
- K-means
- Model Evaluation
- Naive Bayes
- Ridge Regression
- Bagging
- Random Forest
- Boosting
- LASSO
- KNN
- Gradient Boosting
- PCA – Principal Component Analysis
- XGBoost
- LDA – Linear discriminant analysis
- QDA – Quadratic discriminant analysis
- Agglomerative Hierarchical Clustering
- Hard-Margin SVM
- SVM
- DBSCAN
- t-SNE
- Isolation Forest
- Perceptron
Preview
1 image Download File






