Welcome to My_Practicals! 👋
This repository contains all of my practical work, exercises, and projects completed throughout my learning journey in Computer Science, Data Analytics, Machine Learning, Networking, and Software Development.
It serves as a record of my progress, showcasing the concepts I've learned and the hands-on experience I've gained while continuously improving my technical skills.
A collection of machine learning practicals covering topics such as:
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Classification
- Regression
- Model Training & Evaluation
- Feature Engineering
- Scikit-learn Projects
- Data Visualization
Networking practicals including:
- Network Fundamentals
- IP Addressing & Subnetting
- Networking Concepts
- Network Configuration
- Communication Protocols
- Practical Lab Exercises
Data analytics projects and practicals involving:
- Python
- Pandas
- NumPy
- Matplotlib
- SQL
- Data Cleaning
- Data Visualization
- Business Insights
- Exploratory Data Analysis
- Python
- SQL
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- Jupyter Notebook
- Git & GitHub
The goal of this repository is to:
- Practice programming concepts
- Strengthen problem-solving skills
- Apply theoretical knowledge through practical implementation
- Track my learning journey
- Build a strong technical portfolio
This repository is regularly updated as I learn new technologies, complete more practicals, and work on new projects.
- 📧 Email: qyream1@gmail.com
- 💼 LinkedIn: www.linkedin.com/in/rovail-mughal
- 🐙 GitHub: https://github.com/rovailmughal
⭐ If you find this repository helpful, feel free to star it!