List of Python Project Ideas💡👨🏻💻🐍 -
Beginner Projects
🔹 Calculator
🔹 To-Do List
🔹 Number Guessing Game
🔹 Basic Web Scraper
🔹 Password Generator
🔹 Flashcard Quizzer
🔹 Simple Chatbot
🔹 Weather App
🔹 Unit Converter
🔹 Rock-Paper-Scissors Game
Intermediate Projects
🔸 Personal Diary
🔸 Web Scraping Tool
🔸 Expense Tracker
🔸 Flask Blog
🔸 Image Gallery
🔸 Chat Application
🔸 API Wrapper
🔸 Markdown to HTML Converter
🔸 Command-Line Pomodoro Timer
🔸 Basic Game with Pygame
Advanced Projects
🔺 Social Media Dashboard
🔺 Machine Learning Model
🔺 Data Visualization Tool
🔺 Portfolio Website
🔺 Blockchain Simulation
🔺 Chatbot with NLP
🔺 Multi-user Blog Platform
🔺 Automated Web Tester
🔺 File Organizer
#codingprojects
Beginner Projects
🔹 Calculator
🔹 To-Do List
🔹 Number Guessing Game
🔹 Basic Web Scraper
🔹 Password Generator
🔹 Flashcard Quizzer
🔹 Simple Chatbot
🔹 Weather App
🔹 Unit Converter
🔹 Rock-Paper-Scissors Game
Intermediate Projects
🔸 Personal Diary
🔸 Web Scraping Tool
🔸 Expense Tracker
🔸 Flask Blog
🔸 Image Gallery
🔸 Chat Application
🔸 API Wrapper
🔸 Markdown to HTML Converter
🔸 Command-Line Pomodoro Timer
🔸 Basic Game with Pygame
Advanced Projects
🔺 Social Media Dashboard
🔺 Machine Learning Model
🔺 Data Visualization Tool
🔺 Portfolio Website
🔺 Blockchain Simulation
🔺 Chatbot with NLP
🔺 Multi-user Blog Platform
🔺 Automated Web Tester
🔺 File Organizer
#codingprojects
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20 Backend Project Ideas🔥
🔹API for a Task Management System
🔹To-Do List API
🔹Blog Platform
🔹Markdown Note-taking App
🔹Online Code Compiler API
🔹E-commerce API
🔹URL Shortening Service
🔹Chat Application Backend
🔹Web Scraper CLI
🔹Online Bookstore
🔹Social Media API
🔹Music Streaming App
🔹Fitness Workout Tracker
🔹Authentication and Authorization Service
🔹File Upload and Management System
🔹Recipe Sharing Platform
🔹Event Booking System
🔹Expense Tracker API
🔹Weather Forecast Service
🔹Online Food Ordering System
🔹API for a Task Management System
🔹To-Do List API
🔹Blog Platform
🔹Markdown Note-taking App
🔹Online Code Compiler API
🔹E-commerce API
🔹URL Shortening Service
🔹Chat Application Backend
🔹Web Scraper CLI
🔹Online Bookstore
🔹Social Media API
🔹Music Streaming App
🔹Fitness Workout Tracker
🔹Authentication and Authorization Service
🔹File Upload and Management System
🔹Recipe Sharing Platform
🔹Event Booking System
🔹Expense Tracker API
🔹Weather Forecast Service
🔹Online Food Ordering System
👍20❤🔥4
🏆 – AI/ML Engineer
Stage 1 – Python Basics
Stage 2 – Statistics & Probability
Stage 3 – Linear Algebra & Calculus
Stage 4 – Data Preprocessing
Stage 5 – Exploratory Data Analysis (EDA)
Stage 6 – Supervised Learning
Stage 7 – Unsupervised Learning
Stage 8 – Feature Engineering
Stage 9 – Model Evaluation & Tuning
Stage 10 – Deep Learning Basics
Stage 11 – Neural Networks & CNNs
Stage 12 – RNNs & LSTMs
Stage 13 – NLP Fundamentals
Stage 14 – Deployment (Flask, Docker)
Stage 15 – Build projects
Stage 1 – Python Basics
Stage 2 – Statistics & Probability
Stage 3 – Linear Algebra & Calculus
Stage 4 – Data Preprocessing
Stage 5 – Exploratory Data Analysis (EDA)
Stage 6 – Supervised Learning
Stage 7 – Unsupervised Learning
Stage 8 – Feature Engineering
Stage 9 – Model Evaluation & Tuning
Stage 10 – Deep Learning Basics
Stage 11 – Neural Networks & CNNs
Stage 12 – RNNs & LSTMs
Stage 13 – NLP Fundamentals
Stage 14 – Deployment (Flask, Docker)
Stage 15 – Build projects
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Natural Language Processing Projects.pdf
13.2 MB
Natural Language Processing Projects
Akshay Kulkarni, 2022
Akshay Kulkarni, 2022
Python Machine Learning Projects.pdf
871.9 KB
Python Machine Learning Projects
DigitalOcean, 2022
DigitalOcean, 2022
R Projects For Dummies.pdf
5.6 MB
R Projects for Dummies
Joseph Schmuller, 2018
Joseph Schmuller, 2018
👍12❤1
Best Resource to Learn Artificial Intelligence (AI) For Free
👇👇
https://imp.i115008.net/qn27PL
https://i.am.ai/roadmap
https://bit.ly/3h97QpE
https://t.iss.one/datasciencefun/1375
https://microsoft.github.io/AI-For-Beginners
https://ai.google/education/
Share with credits: https://t.iss.one/free4unow_backup
ENJOY LEARNING 👍👍
👇👇
https://imp.i115008.net/qn27PL
https://i.am.ai/roadmap
https://bit.ly/3h97QpE
https://t.iss.one/datasciencefun/1375
https://microsoft.github.io/AI-For-Beginners
https://ai.google/education/
Share with credits: https://t.iss.one/free4unow_backup
ENJOY LEARNING 👍👍
👍6
Best Group for Freshers/ College Students 👇👇
t.iss.one/freshersgrp
t.iss.one/freshersgrp
Telegram
Freshers Group - Data Analytics & Artificial Intelligence
Main purpose of creating this group is to help freshers and college students.
All study material AND resources 🎁
You will find here ❤
Telegram Channel link:- https://t.iss.one/sqlspecialist
All study material AND resources 🎁
You will find here ❤
Telegram Channel link:- https://t.iss.one/sqlspecialist
👍6
12 Essential Math Theories for AI
Understanding AI requires a foundation in core mathematical concepts. Here are twelve key theories that deepen your AI knowledge:
Curse of Dimensionality:
Challenges with high-dimensional data.
Law of Large Numbers:
Reliability improves with larger datasets.
Central Limit Theorem:
Sample means approach a normal distribution.
Bayes' Theorem:
Updates probabilities with new data.
Overfitting & Underfitting:
Finding balance in model complexity.
Gradient Descent:
Optimizes model performance.
Information Theory:
Efficient data compression.
Markov Decision Processes:
Models for decision-making.
Game Theory:
Insights on agent interactions.
Statistical Learning Theory:
Basis for prediction models.
Hebbian Theory:
Neural networks learning principles.
Convolution:
Image processing in AI.
Familiarity with these theories will greatly enhance understanding of AI development and its underlying principles. Each concept builds a foundation for advanced topics and applications.
Understanding AI requires a foundation in core mathematical concepts. Here are twelve key theories that deepen your AI knowledge:
Curse of Dimensionality:
Challenges with high-dimensional data.
Law of Large Numbers:
Reliability improves with larger datasets.
Central Limit Theorem:
Sample means approach a normal distribution.
Bayes' Theorem:
Updates probabilities with new data.
Overfitting & Underfitting:
Finding balance in model complexity.
Gradient Descent:
Optimizes model performance.
Information Theory:
Efficient data compression.
Markov Decision Processes:
Models for decision-making.
Game Theory:
Insights on agent interactions.
Statistical Learning Theory:
Basis for prediction models.
Hebbian Theory:
Neural networks learning principles.
Convolution:
Image processing in AI.
Familiarity with these theories will greatly enhance understanding of AI development and its underlying principles. Each concept builds a foundation for advanced topics and applications.
👍9❤5
Top 10 Computer Vision Project Ideas
1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
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