This repository contains my hands-on learning, practice programs, notebooks, and projects related to Machine Learning using Python.
The goal of this repository is to build strong fundamentals in:
- Machine Learning
- Data Analysis
- Natural Language Processing (NLP)
- Data Visualization
- Python for AI & ML
This repository includes beginner-to-intermediate level implementations, experiments, and practice exercises using real-world datasets and machine learning libraries.
This repository includes work with:
- Python
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- Jupyter Notebook
- NLP Basics
- Machine Learning Algorithms
Machine-Learning/
├── Data Analysis(Q&A)/
├── Data Analysis/
├── ML(Code Basics)/
├── NLP/
├── Pandas/
├── Udemy ML (A-Z)/
└── README.md- Python for Machine Learning
- Data Cleaning & Analysis
- Pandas Operations
- Data Visualization
- Supervised Learning
- Classification & Regression
- Model Training & Evaluation
- Natural Language Processing (NLP)
- Machine Learning Fundamentals
Through this repository, I aim to:
- Strengthen machine learning fundamentals
- Practice real-world datasets
- Improve analytical and problem-solving skills
- Build practical ML projects
- Understand data preprocessing and model evaluation
- Machine Learning Fundamentals
- NLP Basics
- Data Analysis
- Python for AI/ML
- Visualization & Model Building
Sharing my machine learning and data science learning journey through GitHub.
#MachineLearning #Python #DataScience #NLP #Pandas #AI #ScikitLearn #DataAnalysis
⭐ Thanks for visiting my repository!