Koneoppimisen kurssit

4 tuntia

32 luvut

Keskitaso

18 OPISKELEE NYT

Opitut taidot: Machine Learning with scikit-learn, Model Training and Evaluation, Hyperparameter Tuning

2 tuntia

19 luvut

Keskitaso

2 OPISKELEE NYT

Opitut taidot: Linear Regression with Python, Model Training and Evaluation

3 tuntia

24 luvut

Keskitaso

2 OPISKELEE NYT

Opitut taidot: Python Programming, Python Classification Models, Logistic Regression, Data Preprocessing, Model Training and Evaluation, Hyperparameter Tuning

4 tuntia

34 luvut

Keskitaso

4 OPISKELEE NYT

Opitut taidot: Clustering fundamentals and algorithms , Handling missing and categorical data , Data normalization and distance metrics , K-Means: principles and cluster optimization , Hierarchical clustering and dendrograms , DBSCAN: noise handling and irregular shapes , Gaussian Mixture Models: probabilistic clustering

5 tuntia

51 luvut

Aloittelija

12 OPISKELEE NYT

Opitut taidot: Functions & Sets, Series Analysis , Limits & Derivatives , Integrals , Gradient Descent , Vectors & Matrices , Linear Transformations , Matrix Decomposition , Probability Rules , Bayes' Theorem, Statistical Measures , Probability Distributions

6 tuntia

37 luvut

Edistynyt

2 OPISKELEE NYT

Opitut taidot: Reinforcement Learning Foundations, Multi-Armed Bandit Algorithms, Dynamic Programming Methods, Monte Carlo Techniques, Temporal-Difference Learning, Gymnasium Basics

2 tuntia

15 luvut

Keskitaso

1 OPISKELEE NYT

Opitut taidot: Mathematical Foundations of Loss Functions, Risk Minimization Theory, Regression Loss Analysis, Classification Loss Analysis, Information-Theoretic Losses, Loss Function Selection and Comparison

1 tunti

16 luvut

Aloittelija

Opitut taidot: Evolutionary optimization , Swarm intelligence, Genetic algorithms , Particle swarm optimization, Artificial immune systems, Neuroevolution

1 tunti

12 luvut

Aloittelija

5 OPISKELEE NYT

Opitut taidot: Data Cleaning , Missing Value Imputation , Outlier Detection , Feature Encoding , Feature Scaling , Data Transformation , Feature Engineering , Feature Selection , Pipeline Building

2 tuntia

12 luvut

Keskitaso

Opitut taidot: Dimensionality reduction , Principal component analysis (PCA) , Covariance and eigen decomposition

2 tuntia

16 luvut

Keskitaso

Opitut taidot: Classification metrics (Accuracy, Precision, Recall, F1, ROC–AUC) , Regression metrics (MSE, RMSE, MAE, R²) , Clustering evaluation (Silhouette, Davies–Bouldin, Calinski–Harabasz) , Dimensionality reduction evaluation , Anomaly detection evaluation , Cross-validation techniques

2 tuntia

9 luvut

Edistynyt

Opitut taidot: Drift Detection Fundamentals, Statistical Drift Metrics, Kolmogorov–Smirnov Test, Population Stability Index, Model-Based Drift Detection, Monitoring Model Degradation