Welcome to our club's repository of mathematical, statistical, and machine-learning formulae. Our goal is to enhance programming skills by creating different functions for various algorithms and techniques.
This repository contains a collection of functions implementing mathematical, statistical, and machine-learning formulas. Each function is accompanied by a brief description, usage examples, and test cases.
- Mathematical Functions
- Algebra
- Calculus
- Linear Algebra
- Differential Equations
- Statistical Functions
- Probability Distributions
- Hypothesis Testing
- Confidence Intervals
- Regression Analysis
- Machine Learning Functions
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Deep Learning
This repository is a collaborative space for our club members to practice and learn from each other. Here's how you can contribute:
- Answer a Question: If you see a question you can answer, create a new file with the following naming convention: {Team_name_problem_no}.{file_extention} (e.g., (JohnDoe_3.rs)). Include your name, semester, and a clear explanation of your solution.
- Submit Your Answer: Commit your answer file and submit a pull request. Our moderators will review your submission and provide feedback.
- Official Answer: After reviewing all submissions, we will post an official answer for each question. This will help us learn from each other and improve our understanding of the subject matter.
Guidelines
- Be respectful and helpful in your interactions with other members.
- Follow the naming convention for answer files.
- Include clear explanations and comments in your code.
- Test your code before submitting.
By contributing to this repository, you'll improve your skills and help your fellow members learn and grow. Let's work together to create a supportive and knowledge-sharing community!
TLDR; This event focuses on developing insights about different Mathematical, Statistical and Machine Learning formulae and their implementation.