/TrifonovRS.Machine_Learning_Portfolio.github.io

This portfolio was created in the process of studying machine learning to illustrate my progress and skills.

Primary LanguageJupyter Notebook

MACHINE LEARNING PORTFOLIO

This portfolio was created in the process of studying machine learning to illustrate my progress and skills.

👨‍🎓 MY CERTIFICATES IN THE FIELD OF MACHINE LEARNING

[GeekBrains] Certificate of professional retraining under the program "Geek University Faculty of Artificial Intelligence"

📈 REGRESSION

1. Simple Linear Regression: Project 1: COVID vaccination vs. mortality

2. Multiple Linear Regression: Project 2: Car Price Prediction

3. Polynomial Regression: Project 3: Electric Motor Temperature

4. Linear Regression with TensorFlow (Subclassing API): Project 4: LondonAirBNB

5. Linear Regression with Pytorch: Project 5: Uber and Lyft Dataset Boston

6. SVR: Project 6: Laptop Price

7. Decision Tree Regression: Project 7: White Wine Quality

8. Random Forest Regression: Project 8: Student Performance

🧩 CLASSIFICATION

1. Logistic Regression

2. K-NN

3. SVM

4. Kernel SVM

5. Naive Bayes

6. Decision Tree Classification

7. Random Forest Classification

CLUSTERING

1. K-Means

2. Hierarchical Clustering

ASSOCIATION RULE LEARNING

1. Apriori

2. Eclat

REINFORCEMENT LEARNING

1. Upper Confidence Bound

2. Thompson Sampling

DIMENSIONALITY REDUCTION

1. PCA

2. LDA

3. Kernel

4. PCA

MODEL SELECTION & BOOSTING

1. k-fold Cross Validation

2. Parameter Tuning

3. Grid Search

4. XGBoost