Python Machine Learning Projects - 2023.pdf
6.7 MB
Python Machine Learning Projects
Deepali R. Vora, 2023
Deepali R. Vora, 2023
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Machine Learning Projects 👇
Here are 20 project ideas to sharpen your coding skills and build your portfolio! 👇
💡 1. RESTful API for a Todo App
📚 2. Library Management System
🏬 3. E-commerce API with Payment Gateway
🛠 4. User Authentication System
🎵 5. Music Streaming Service
💬 6. Chat Application Backend
📦 7. Inventory Management API
📄 8. Blog Platform with Comments
🏥 9. Hospital Management System
📈 10. Analytics Dashboard
📬 11. Email Campaign API
🚗 12. Ride-Sharing Backend
📦 13. Warehouse Management System
🎓 14. Online Learning Platform
🌐 15. Social Media Backend
💳 16. Subscription Billing System
🛡 17. Role-Based Access Control
🍽 18. Restaurant Ordering API
🏨 19. Hotel Booking System
📝 20. Form Builder API
Best Programming Resources: https://topmate.io/coding/886839
All the best 👍👍
💡 1. RESTful API for a Todo App
📚 2. Library Management System
🏬 3. E-commerce API with Payment Gateway
🛠 4. User Authentication System
🎵 5. Music Streaming Service
💬 6. Chat Application Backend
📦 7. Inventory Management API
📄 8. Blog Platform with Comments
🏥 9. Hospital Management System
📈 10. Analytics Dashboard
📬 11. Email Campaign API
🚗 12. Ride-Sharing Backend
📦 13. Warehouse Management System
🎓 14. Online Learning Platform
🌐 15. Social Media Backend
💳 16. Subscription Billing System
🛡 17. Role-Based Access Control
🍽 18. Restaurant Ordering API
🏨 19. Hotel Booking System
📝 20. Form Builder API
Best Programming Resources: https://topmate.io/coding/886839
All the best 👍👍
👍5❤2
Machine Learning Projects 👇
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AI REPLACE HUMAN ❌
AI REPLACE AI ✅
AI REPLACE AI ✅
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These are top 5 data structures and algorithms projects, allowing you to dive deep into the world of DSA 💪🏻
•Project 1: Snakes Game (Arrays)
The Snakes Game project is a classic implementation of the popular game
Snake.
This project allows you to understand the concepts of arrays, loops, and conditional statements. You can further enhance the game by incorporating additional features such as score tracking and power-ups.
•Project 2: Cash Flow Minimizer (Graphs/ Multisets/Heaps)
The Cash Flow Minimizer project involves solving a cash flow optimization problem using graphs, multisets, and heaps. Given a set of transactions among a group of people, the objective is to minimize the total number of transactions required to settle all debts
•Project 3: Sudoku Solver (Backtracking)
The Sudoku Solver project aims to solve the popular Sudoku puzzle using backtracking. This project allows you to understand the backtracking algorithm, which is widely used in solving constraint satisfaction problems.
•Project 4: File Zipper (Greedy Huffman
Encoder)
The File Zipper project focuses on implementing a file compression utility using the Greedy Huffman encoding algorithm. This project provides a practical application of the greedy algorithm and helps you understand the trade-offs between
compression ratio and execution time.
•Project 5: Map Navigator (Dijkstra’s
Algorithm)
The Map Navigator project aims to develop a navigation system using Dijkstra’s algorithm. It involves finding the shortest path between two locations on a map, considering factors such as distance and traffic.
You can check these amazing resources for DSA Preparation
Join for more: https://t.me/crackingthecodinginterview
All the best 👍👍
•Project 1: Snakes Game (Arrays)
The Snakes Game project is a classic implementation of the popular game
Snake.
This project allows you to understand the concepts of arrays, loops, and conditional statements. You can further enhance the game by incorporating additional features such as score tracking and power-ups.
•Project 2: Cash Flow Minimizer (Graphs/ Multisets/Heaps)
The Cash Flow Minimizer project involves solving a cash flow optimization problem using graphs, multisets, and heaps. Given a set of transactions among a group of people, the objective is to minimize the total number of transactions required to settle all debts
•Project 3: Sudoku Solver (Backtracking)
The Sudoku Solver project aims to solve the popular Sudoku puzzle using backtracking. This project allows you to understand the backtracking algorithm, which is widely used in solving constraint satisfaction problems.
•Project 4: File Zipper (Greedy Huffman
Encoder)
The File Zipper project focuses on implementing a file compression utility using the Greedy Huffman encoding algorithm. This project provides a practical application of the greedy algorithm and helps you understand the trade-offs between
compression ratio and execution time.
•Project 5: Map Navigator (Dijkstra’s
Algorithm)
The Map Navigator project aims to develop a navigation system using Dijkstra’s algorithm. It involves finding the shortest path between two locations on a map, considering factors such as distance and traffic.
You can check these amazing resources for DSA Preparation
Join for more: https://t.me/crackingthecodinginterview
All the best 👍👍
❤2👍2
Advances in Pattern Recognition (SafefilekU.com).pdf
22.9 MB
Advances in Pattern Recognition and Artificial Intelligence
Nicola Nobile, 2022
Nicola Nobile, 2022
👍2
How to master ChatGPT-4o....
The secret? Prompt engineering.
These 9 frameworks will help you!
APE
↳ Action, Purpose, Expectation
Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.
RACE
↳ Role, Action, Context, Expectation
Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.
COAST
↳ Context, Objective, Actions, Scenario, Task
Context: Set the stage.
Objective: Describe the goal.
Actions: Explain needed steps.
Scenario: Describe the situation.
Task: Outline the task.
TAG
↳ Task, Action, Goal
Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.
RISE
↳ Role, Input, Steps, Expectation
Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.
TRACE
↳ Task, Request, Action, Context, Example
Task: Define the task.
Request: Describe the need.
Action: State the required action.
Context: Provide the situation.
Example: Illustrate with an example.
ERA
↳ Expectation, Role, Action
Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.
CARE
↳ Context, Action, Result, Example
Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.
ROSES
↳ Role, Objective, Scenario, Expected Solution, Steps
Role: Specify ChatGPT's role.
Objective: State the goal or aim.
Scenario: Describe the situation.
Expected Solution: Define the outcome.
Steps: Ask for necessary actions to reach solution.
Join for more: https://t.me/machinelearning_deeplearning
The secret? Prompt engineering.
These 9 frameworks will help you!
APE
↳ Action, Purpose, Expectation
Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.
RACE
↳ Role, Action, Context, Expectation
Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.
COAST
↳ Context, Objective, Actions, Scenario, Task
Context: Set the stage.
Objective: Describe the goal.
Actions: Explain needed steps.
Scenario: Describe the situation.
Task: Outline the task.
TAG
↳ Task, Action, Goal
Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.
RISE
↳ Role, Input, Steps, Expectation
Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.
TRACE
↳ Task, Request, Action, Context, Example
Task: Define the task.
Request: Describe the need.
Action: State the required action.
Context: Provide the situation.
Example: Illustrate with an example.
ERA
↳ Expectation, Role, Action
Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.
CARE
↳ Context, Action, Result, Example
Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.
ROSES
↳ Role, Objective, Scenario, Expected Solution, Steps
Role: Specify ChatGPT's role.
Objective: State the goal or aim.
Scenario: Describe the situation.
Expected Solution: Define the outcome.
Steps: Ask for necessary actions to reach solution.
Join for more: https://t.me/machinelearning_deeplearning
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