Here are some exercises to help you practice your machine learning skills:
- Linear Regression: Implement a simple linear regression model to predict housing prices.
- Neural Networks: Build a neural network to classify images of handwritten digits.
- Clustering: Apply clustering algorithms to segment customer data.
For more resources and tutorials, check out our Machine Learning Course.
Machine Learning
- Supervised Learning: Use algorithms like SVM, Decision Trees, and Random Forests for classification and regression tasks.
- Unsupervised Learning: Explore clustering, dimensionality reduction, and association rules.
- Reinforcement Learning: Dive into Q-Learning, Policy Gradients, and Deep Q-Networks.
Remember, practice makes perfect! Keep experimenting and expanding your knowledge.
Supervised Learning
Unsupervised Learning
Reinforcement Learning