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🗂️ Topics Covered



Python
OOP · Decorators · Generators
NumPy · Pandas · Matplotlib
Flask · Streamlit · SQLite3

Machine Learning
Linear · Logistic · SVM · KNN
Decision Trees · Random Forest
XGBoost · AdaBoost · DBSCAN

Deep Learning
ANN · CNN · RNN · LSTM
GRU · Bidirectional RNN
Attention · Transformers

NLP
BOW · TF-IDF · Word2Vec
NLTK · Gensim · Stemming
Sentiment · Classification

MLOps
MLflow · DVC · DagsHub
Docker · GitHub Actions
BentoML · ETL Pipelines

Cloud Deployment
AWS EC2 · ECR · S3
Beanstalk · Azure
Container Deployments

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This repository documents my hands-on learning journey in Python, Data Science, Machine Learning, Deep Learning, NLP, MLOps, and AI. It includes practice notebooks, coding exercises, implementations, and concepts learned throughout the course.

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