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