Python-ML — My AIML Learning Journey
A structured and practical repository documenting my complete journey into Python, Data Handling, Data Visualization, EDA, and foundational Machine Learning. This repo contains notebooks, scripts, datasets, and mini-projects — all created as part of my preparation for Artificial Intelligence & Machine Learning specialization.
📌 What This Repo Contains
This repository is organized into clean folders, each focusing on a key AIML skill:
📁 Warm-Up/
Basic Python practice — loops, functions, lists, conditionals, OOP, etc. Perfect for brushing up fundamentals.
📁 Numpy/
Covers:
Array creation
Vectorized operations
Slicing
Broadcasting
Mathematical operations
Time comparison between lists & NumPy
📁 Pandas/
Covers:
DataFrames & Series
Merging, joining, concatenation
Handling missing values
GroupBy operations
CSV loading/saving
Real-world dataset cleaning
Datasets included for practice.
📁 matplotlib/
Covers:
Line plots
Bar charts
Scatter plots
Histograms
Subplots
Styling & colors
Real-world visualizations
📁 Projects/
A collection of beginner-friendly EDA and visualization projects. Includes:
IPL Analysis
Zomato Analysis
Custom datasets exploration More projects will be added as I progress.
🧰 Tech Stack & Libraries Used
Python 3
NumPy
Pandas
Matplotlib
Seaborn
(Upcoming) Scikit-learn
(Upcoming) TensorFlow / PyTorch
🎯 Purpose of This Repository
This repo represents:
✔ My fundamentals in Data Science & ML ✔ My hands-on practice in Python ✔ My journey into AIML specialization ✔ My transition from basics → ML → DL ✔ My readiness for future AI/ML projects
It also serves as a strong foundation for:
Machine Learning algorithms
Deep Learning
NLP
AI-based apps
LLM projects
Full-stack ML deployments
📅 Roadmap (Upcoming Additions) 🔹 ML Algorithms
Linear & Logistic Regression
SVM
KNN
Decision Tree
Random Forest
Naive Bayes
🔹 EDA Projects
Netflix dataset
Heart Disease
Students Performance
🔹 ML Deployments
FastAPI ML APIs
Predictive web apps
🔹 Deep Learning
Neural Networks
CNNs
RNN/LSTM
Transformers
This repo will evolve into a complete AIML portfolio.
🌟 Why This Repo Exists
I am pursuing AI/ML specialization, and this repository documents everything I learn and build — from Python basics to advanced ML and AI systems. It represents my discipline, curiosity, and growth as an aspiring AI Engineer.
🤝 Contributions
This is a personal learning repo, but suggestions and improvements are always welcome!
⭐ Show Your Support
If you found this structure useful or inspiring, consider giving the repo a ⭐ on GitHub!