My examples of solving various problems of Data Science based on completed online courses
| № |
Title |
| 1 |
Algorithms and Structures |
Machine Learning Problems
| № |
Title |
| 1 |
Data Visualization with Matplotlib |
| 2 |
Data Visualization with Seaborn |
| 3 |
Linear Regression |
| 4 |
Logistic Regression |
| 5 |
K-Nearest Neighbors |
| 6 |
Random Forest |
| 7 |
Support Vector Machine |
| 8 |
K-Means Clustering |
| 9 |
Principal Component Analysis |
| 10 |
Naive Bayes |
| № |
Title |
| 1 |
Artificial Neural Network with TensorFlow |
| 2 |
Convolutional Neural Networks |
| 3 |
Recurrent Neural Networks |
| 4 |
Autoencoders |
| 5 |
Generative Adversarial Networks |
| 6 |
Reinforcement Learning |
| № |
Title |
| 1 |
Neural Style Transfer |
Natural Language Processing Problems
| № |
Title |
| 1 |
Character-Level Language Modeling |
