How maheswara645/mtechprogram works
This repository is a collection of independent Python learning exercises and demonstrations, not one integrated application. Its main workflows are sales-data analysis, student-data analysis, machine-learning examples, and two separate conversational agents; the remaining files are standalone fundamentals and practice scripts. The sales and student workflows are visible in the sampled source. Other directory-level learning topics are represented only where the tree or excerpts support them; no shared runtime or cross-script orchestration is evident.
Main entry points: sales_Data_Analysis.py Sales Analysis · agent_1.py Local Learning Agent · agent.py Gemini Chat Agent · FP 1.py Python Examples
Components 18
Python Fundamentals
- Python Examples
fundamental_of_python/FP 1.py - Collections Examples
fundamental_of_python/FP2.py - List Practice
fundamental_of_python/practice-question/Pratice-Question-1 - Pandas Practice
fundamental_of_python/practice-question/Pratice-Question-2
Data Analysis
- Sales Analysis
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sample Sales Data
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Cleaning
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Aggregation
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Charts
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales CSV Results
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Student Performance
fundamental_of_python/Project/Project-1/project1FP.py
Machine Learning
- Naive Bayes Examples
Machine Learning/Assignment using Data set/BernoulliNaiveBayes.py - SMS Classification
Machine Learning/Assignment using Data set/MultinomialNaïveBayes.py - Regression Examples
Machine Learning/five spe
AI Agents
- Local Learning Agent
fundamental_of_python/AI_Agent/AI_Agent_1/agent_1.py - Gemini Chat Agent
fundamental_of_python/AI_Agent/AI-Agent-2/agent.py
Other components
- Learner
- Google Gemini
Connections 18
- Learner → Python Examples: runs examples
fundamental_of_python/FP 1.py - Learner → Collections Examples: runs examples
fundamental_of_python/FP2.py - Learner → List Practice: runs exercises
- Learner → Pandas Practice: runs exercises
- Sales Analysis → Sample Sales Data: creates
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Analysis → Sales Cleaning: cleans
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Analysis → Sales Aggregation: aggregates
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Analysis → Sales Charts: plots
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Sales Analysis → Sales CSV Results: writes results
fundamental_of_python/Project/project-2/sales_Data_Analysis.py - Learner → Sales Analysis: runs analysis
- Learner → Student Performance: runs analysis
- Learner → Naive Bayes Examples: runs example
- Learner → SMS Classification: runs classifier
Machine Learning/Assignment using Data set/MultinomialNaïveBayes.py - Learner → Regression Examples: runs examples
- Learner → Local Learning Agent: chats with
fundamental_of_python/AI_Agent/AI_Agent_1/agent_1.py - Local Learning Agent → Local Learning Agent: matches keywords
fundamental_of_python/AI_Agent/AI_Agent_1/agent_1.py - Learner → Gemini Chat Agent: sends messages
fundamental_of_python/AI_Agent/AI-Agent-2/agent.py - Gemini Chat Agent → Google Gemini: requests replies
fundamental_of_python/AI_Agent/AI-Agent-2/agent.py