Hey everyone! I've been studying tree data structures during my university courses, and while I can wrap my head around the theory, actually coding them is where I hit a wall. I want to enhance my skills from the very basics to more advanced topics like decision trees and random forests.
I'm looking for recommendations on websites or structured paths that can guide me through practice step-by-step. Here's the type of progression I'm aiming for:
1. **Binary Trees:** Basic operations like insertion, deletion, and various traversal methods.
2. **Binary Search Trees (BST):** Understanding how to build, search, and balance these.
3. **Heaps:** Learning about min/max heap operations and how priority queues work.
4. **Tree Traversal Problems:** Gaining experience with BFS, DFS, and recursion.
5. **Decision Trees:** Exploring how they're built and their application in classification.
6. **Random Forests:** Working on simple examples and understanding the logic behind ensembles.
Any links or resources that follow a similar learning approach would be greatly appreciated! Thanks in advance!
1 Answer
Honestly, the best way to learn is just to start coding a tree yourself. Don't stress if it takes time; you'll learn a lot through the process. Just dive in!
Do you have any specific sites in mind that can help with practice?