Data_Science

A curated collection of Jupyter notebook projects and tutorials covering data science, machine learning, deep learning, NLP, GenAI/RAG, big data, and graph analysis.

Datasets live in content/. Library setup: pip install -r requirements.txt · Most notebooks also run free on Google Colab via the badges below.

Collection at a glance — 134 notebooks

Folder	#	Focus
01_Fundamentals	9	NumPy/Pandas/Seaborn, statistics, Plotly
02_Data_Analysis_EDA	7	Covid, IPL, Zomato, MovieLens case studies
03_Machine_Learning	53	Every core algorithm + 30 end-to-end projects
04_Deep_Learning	16	TF/PyTorch/fastai, CNN-RNN-LSTM, transformers, vision
05_NLP_Embeddings	11	Word2Vec→BERT fine-tuning, topics, spaCy
06_GenAI_LLM_RAG	12	Prompting, agents, RAG stack, diffusion, Whisper
07_BigData_Spark	7	RDDs→DataFrames→MLlib→streaming→SQL windows
08_Graphs_Networks	5	NetworkX algorithms, GNNs, link prediction
09_Other_Experiments	4	Quantum computing, optimization
10_Reinforcement_Learning	4	Bandits → Q-learning → DQN → PPO
11_MLOps_Deployment	6	Streamlit, FastAPI, Docker, CI, MLflow, drift

📚 01_Fundamentals

Core library tutorials.

Notebook	Topic
numpy_pandas_matplotlib_seaborn_sklearn	NumPy, Pandas, Matplotlib, Seaborn, scikit-learn crash course
data_visualization_with_seaborn	Seaborn visualization guide
astropy_tutorials	Astropy (astronomy computing)
pandas/	DataFrame basics, operations, joins
statistics_hypothesis_testing	Distributions, CLT, A/B tests, t-test, chi-squared
plotly_interactive_visualization	Interactive charts, maps, animation frames

📊 02_Data_Analysis_EDA

Exploratory data analysis mini projects.

Notebook	Topic
covid-19/	Covid vaccines, Plotly Express visualization, country vaccination data
ipl/ipl_data_analysis	IPL matches EDA
zomato_data_analysis	Zomato restaurant data
turing_data_analysis_test	Cardio/covid analytical test
movies_ratings_eda	MovieLens 100k - genres, decades, Bayesian weighted top-10

🤖 03_Machine_Learning

algorithms — single-concept demos

Linear & logistic regression · Decision tree · Random forest · XGBoost/gradient boosting · SVM & kernels · Naive Bayes ×2 · Clustering (intro, DBSCAN, types) · PCA · Ridge/Lasso/ElasticNet · Hyperparameter tuning (Grid/Random/Optuna) · Anomaly detection · Imbalanced data classification · Model comparison · ANN search · Backpropagation · KNN (knn/) · Gradient descent (gradient_descent.py)

projects — end-to-end predictions

• healthcare/ — heart disease ×2, breast cancer ×2, cancer cells, Parkinson's, autism, disease prediction, calories burnt
• finance-stocks/ — stock price ×4 (ML/SVM/TensorFlow/Microsoft), Dogecoin, portfolio optimization, credit card fraud
• forecasting/ — sales forecast, Ola bike demand, vehicle count, rainfall, IPL score, SARIMA, Prophet
• other/ — wine quality, house & real-estate prices, music popularity, customer churn, recommender systems ×2 + MovieLens recommender project, biometric authentication (GenAI)

🧠 04_Deep_Learning

Subfolder	Contents
tensorflow-basics	TF basics, examples, neural networks
pytorch	PyTorch fundamentals
fastai	fastai banana image classifier
cnn-rnn-lstm	CNN, RNN, LSTM ×3, NN classification
transformers	Attention from scratch (NumPy) - QKV, causal mask, multi-head, positional encoding
computer-vision	YOLOv8 object detection · ResNet18 transfer learning
generative-models	GAN, autoencoders, RBM

💬 05_NLP_Embeddings

Word2Vec · GloVe · FastText · SMS spam detection (TF) · Fake news detection (TF) · Naive Bayes text classification · HuggingFace transformers basics · DistilBERT sentiment fine-tuning · LDA topic modeling · BERTopic neural topics · spaCy NER & text processing

✨ 06_GenAI_LLM_RAG

All runnable free on Google Colab - no paid API keys.

Notebook	Topic
rag_basics	Retrieval-augmented generation fundamentals
rag_langchain	RAG with LangChain
llm_for_python	LLM APIs for Python
pandasai	Conversational dataframes
prompt_engineering	Zero/few-shot, CoT, roles, JSON output
llm_function_calling_agents	Tool use + ReAct agent loop
sentence_transformers_embeddings	Semantic search with SBERT
faiss_chroma_vector_db	ChromaDB + FAISS vector stores
rag_evaluation_ragas	Faithfulness, context precision/recall
ollama_local_llm	Local Llama in Colab via Ollama
stable_diffusion_text_to_image	Diffusers text-to-image
whisper_speech_recognition	Local speech-to-text

⚡ 07_BigData_Spark

Notebook	Topic
spark_basics	Spark fundamentals
spark_rdd_basics	RDD operations
pyspark_dataframe	DataFrame API
pyspark_mysql	PySpark + MySQL
pyspark_mllib_pipeline	ML pipelines, CrossValidator tuning
spark_structured_streaming	Windows, watermarks, output modes
spark_sql_window_functions	Rankings, running totals, lag/lead

🕸️ 08_Graphs_Networks

Notebook	Topic
network_graph	Graph visualization
networkx_practical_applications	NetworkX in practice
graph_algorithms_centrality_community	5 centralities, paths, Louvain communities
gnn_intro_pytorch_geometric	GCN node classification on Cora
graph_link_prediction_pyg	Predict missing edges (GCN encoder + dot-product decoder)

🔬 09_Other_Experiments

Quantum computing with Qiskit (base circuits, Grover & teleportation) · SciPy optimization: LP/MILP/curve-fitting · Pytensor demo · Java samples (java/)

🎮 10_Reinforcement_Learning

Notebook	Topic
multi_armed_bandits	Epsilon-greedy vs UCB1 vs Thompson sampling
q_learning_intro	Tabular Q-learning on FrozenLake
dqn_cartpole_pytorch	Deep Q-network: replay buffer + target net
ppo_stable_baselines3_intro	PPO policy gradients with SB3

🚀 11_MLOps_Deployment

Notebook	Topic
streamlit_model_app	Model → interactive web app
fastapi_model_serving	REST API + pydantic validation
docker_for_ml	Containerize a model service
github_actions_ci_for_ml	CI quality gates for models
mlflow_experiment_tracking	Params/metrics/artifacts tracking
model_monitoring_drift_evidently	Data drift detection & reports

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Libraries

NumPy · Pandas · Matplotlib · Seaborn · Plotly · SciPy · scikit-learn · XGBoost · Prophet · statsmodels · TensorFlow/Keras · PyTorch · HuggingFace Transformers · diffusers · Whisper · LangChain · ChromaDB/FAISS · Ollama · Spark · Gymnasium · Streamlit · FastAPI · MLflow