Machine-Learning

📂 Repository Contents

1. Salary_Prediction - Contains the ML code for predicting Salary from Years of Experience
   1. src
      1. Machine1.py - The main parent code
      2. functions.py - The code that holds all the functions used in the main "Machine1.py" code
      3. Machine1_Scikit.py - A simplifed version of Machine1.py (which is Raw machine learning code) using Scikit-Learn library modules
   2. Data
      1. Salary_Data.csv - Contains the Data that "Machine1.py" is trained on. Contains the Years of Experience and corresponding Salary.

🎯 Purpose of This Repository

This repository serves as my personal playground for exploring, experimenting, and implementing various Machine Learning algorithms and projects.
From basic models to more complex experiments, this is where I document my learning journey, test new ideas, and build a portfolio of real-world applications as I grow in the field of AI and ML.

Whether it’s for sharpening concepts, revisiting fundamentals, or preparing for internships and research roles — this repo is the brain dump of my ML grind.

📂 Repository Structure

Machine Learning
      |
      |──Salary_Prediction
            |──Data
            |   |──Salary_Data.csv
            |   |──README.md
            |──src
            |   |──Machine1.py
                |──Machine1_Scikit.py
            |   |──functions.py
            |   |──README.md
            |──README.md
            |──Screenshot