My files of courses in Coursera
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Майнор "Интеллектуальный анализ данных"
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Введение в машинное обучение | git | full git
Course details
1. Introduction to Numpy, Pandas and Matplotlib 2. KNN and Linear Regressin (with Huber Loss) from scratch 3. Random Forest and Gradient Boosting from scratch
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Современные методы машинного обучения | git | full git
Course details
1. Linear Regression with batch-optimization. Logistic Regression from scratch. Mini-batch SGD, SGD with momentum, ADAM from scratch 2. Introduction to Tensorflow version 1.x. MNIST with accuracy > 97.5 3. Initialization the weights in CNN. Keras callbacks 4. Chinese recognition using transfer learning
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Прикладные задачи анализа данных | git | full git
Course details
1. AB-tests. 2. Introduction to time series with COVID-19. ARIMAX-models 3. Jigsaw competition in Kaggle. Bi-Directional RNN, BERT, RoBERTa
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- Neural Networks and Deep Learning | git | notion | info
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | git | notion | info
- Structuring Machine Learning Projects | git | notion | info
- Convolutional Neural Networks | git | notion | info
- Sequence Models | git | notion | info
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Yandex
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Программирование на Python от Mail.ru
№ | My courses | Status | Rating |
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1. | Deep Learning Specialization | Finished | ⭐⭐⭐⭐⭐ |
2. | Нейронные сети и обработка текста | In progress | |
3. | Машинное обучение и анализ данных | In progress |
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