Projects, Version 2¶
Each project from the program rebuilt with a deliberately different architecture, to show that the choice of model is a design decision rather than a default. Where version 1 reaches for a familiar baseline, version 2 picks a different paradigm and explains the trade-off.
Run these as Python packages rather than notebooks:
git clone https://github.com/sameerkarur/Data_science.git
cd Data_science
pip install -r requirements.txt
python projects_version2/run_all_v2_projects.py
Python Expense Tracker V2¶
Next-Generation Python Architecture
Python Task Manager V2¶
Next-Generation Python Architecture
Ds Sales Analysis Cohort Rfm V2¶
Next-Generation Applied Data Science Architecture
Ds Marketing Campaign Uplift Attribution V2¶
Next-Generation Marketing Analytics Architecture
ML Spotify Cohorts Hdbscan Pca V2¶
Next-Generation Machine Learning Architecture
ML Employee Attrition Explainable Boosting V2¶
Next-Generation Machine Learning Architecture
DL Lending Club Tabular Resnet V2¶
Next-Generation Deep Learning Architecture
DL Home Loan Risk Tabnet V2¶
Next-Generation Deep Learning Architecture
Genai Storytelling Multiagent Stategraph V2¶
Next-Generation Generative AI Architecture
Genai Virtual Pmo Swarm Simulation V2¶
Next-Generation Generative AI Architecture
Advgenai Hybrid Dense Sparse RAG V2¶
Next-Generation Advanced Generative AI Architecture
Advgenai Multimodal Creative Studio V2¶
Next-Generation Advanced Generative AI Architecture
Capstone1 Autonomous Perception Vit Efficientnet V2¶
Next-Generation Computer Vision & Safety Architecture
Capstone2 Hierarchical Probabilistic Demand Forecasting V2¶
Next-Generation Time-Series Forecasting Architecture
Capstone3 Dual Vision Bpr Recommender V2¶
Next-Generation Deep Vision & Tourism Recommender Architecture