| Subjects of Study | |||||
|---|---|---|---|---|---|
| The links below are to the parent GitHub repos of completed courses, resources, my own notes, links to articles, etc. about the topics shown below. They are designed to be my "go-to" place for teaching myself the given subject. | |||||
| Analytics | Computer Science | Product Development | UX / UI Design | Front End Development | Data Visualization |
| Algorithm & Data Structures Interview | |||||
| Data Structures (in JavaScript) | |||||
| JavaScript Algorithms | |||||
| Python Cheat Sheet | |||||
This repo will aggregate my work in various computer science and machine laerning courses and explore a number of different CS, ML, and AI concepts.
| Course | Provider | Comments | Notes |
|---|---|---|---|
| CS50 Introduction to Computer Science | HarvardX edX |
Course Link | CS50 Notes See the code Problem Sets |
| Object-Oriented Design | Lynda | Course Link | My Notes |
| Four Semesters of Computer Science in 5 Hours - Part 1 | Lynda | link expired | My Notes Course Repo |
| AWS Machine Learning Foundations Course | Udacity | Course Link | Repo |
| Course | Provider | Comments | Notes |
|---|---|---|---|
| Intro to Machine Learning | Udacity | Course Link | Repo |
| Intro to Deep Learning with PyTorch | Udacity | Course Link | |
| Design of Computer Problems | Udacity | Course Link | Repo |
| CS101 Computer Science 101 | Stanford University | Course link |
Potential Courses:
- https://www.kaggle.com/learn/python
- https://www.kaggle.com/learn/intro-to-machine-learning
- https://www.kaggle.com/learn/deep-learning
- https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
- https://www.kaggle.com/learn/pandas
- https://www.kaggle.com/learn/machine-learning-explainability
- Bubble Sort
- Insertion Sort
- Bubble Sort
- Quick Sort
- Algorithms Resources:
- Interfaces
- Set
- Map
- Stack
- Queue
- Array List
- Linked List
- Binary Search Tree
- AVL Tree
- Hash Table