Forwarded from Generative AI
๐ฒ ๐๐ฟ๐ฒ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐ ๐ฎ๐ธ๐ฒ ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ฒ๐๐๐บ๐ฒ ๐ฆ๐๐ฎ๐ป๐ฑ ๐ข๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
As competition heats up across every industry, standing out to recruiters is more important than ever๐๐
The best part? You donโt need to spend a rupee to do it!๐ฐ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4m0nNOD
๐ Start learning. Start standing outโ ๏ธ
As competition heats up across every industry, standing out to recruiters is more important than ever๐๐
The best part? You donโt need to spend a rupee to do it!๐ฐ
๐๐ข๐ง๐ค๐:-
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๐ Start learning. Start standing outโ ๏ธ
Here is the list of few projects (found on kaggle). They cover Basics of Python, Advanced Statistics, Supervised Learning (Regression and Classification problems) & Data Science
Please also check the discussions and notebook submissions for different approaches and solution after you tried yourself.
1. Basic python and statistics
Pima Indians :- https://www.kaggle.com/uciml/pima-indians-diabetes-database
Cardio Goodness fit :- https://www.kaggle.com/saurav9786/cardiogoodfitness
Automobile :- https://www.kaggle.com/toramky/automobile-dataset
2. Advanced Statistics
Game of Thrones:-https://www.kaggle.com/mylesoneill/game-of-thrones
World University Ranking:-https://www.kaggle.com/mylesoneill/world-university-rankings
IMDB Movie Dataset:- https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
3. Supervised Learning
a) Regression Problems
How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview
Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand
Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction
Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data
IMDB Box office Prediction:-https://www.kaggle.com/c/tmdb-box-office-prediction/overview
b) Classification problems
Employee Access challenge :- https://www.kaggle.com/c/amazon-employee-access-challenge/overview
Titanic :- https://www.kaggle.com/c/titanic
San Francisco crime:- https://www.kaggle.com/c/sf-crime
Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction
Trip type classification:- https://www.kaggle.com/c/walmart-recruiting-trip-type-classification
Categorize cusine:- https://www.kaggle.com/c/whats-cooking
4. Some helpful Data science projects for beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
5. Intermediate Level Data science Projects
Black Friday Data : https://www.kaggle.com/sdolezel/black-friday
Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset
Million Song Data : https://www.kaggle.com/c/msdchallenge
Census Income Data : https://www.kaggle.com/c/census-income/data
Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset
Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2
Share with credits: https://t.me/sqlproject
ENJOY LEARNING ๐๐
Please also check the discussions and notebook submissions for different approaches and solution after you tried yourself.
1. Basic python and statistics
Pima Indians :- https://www.kaggle.com/uciml/pima-indians-diabetes-database
Cardio Goodness fit :- https://www.kaggle.com/saurav9786/cardiogoodfitness
Automobile :- https://www.kaggle.com/toramky/automobile-dataset
2. Advanced Statistics
Game of Thrones:-https://www.kaggle.com/mylesoneill/game-of-thrones
World University Ranking:-https://www.kaggle.com/mylesoneill/world-university-rankings
IMDB Movie Dataset:- https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
3. Supervised Learning
a) Regression Problems
How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview
Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand
Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction
Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data
IMDB Box office Prediction:-https://www.kaggle.com/c/tmdb-box-office-prediction/overview
b) Classification problems
Employee Access challenge :- https://www.kaggle.com/c/amazon-employee-access-challenge/overview
Titanic :- https://www.kaggle.com/c/titanic
San Francisco crime:- https://www.kaggle.com/c/sf-crime
Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction
Trip type classification:- https://www.kaggle.com/c/walmart-recruiting-trip-type-classification
Categorize cusine:- https://www.kaggle.com/c/whats-cooking
4. Some helpful Data science projects for beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
5. Intermediate Level Data science Projects
Black Friday Data : https://www.kaggle.com/sdolezel/black-friday
Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset
Million Song Data : https://www.kaggle.com/c/msdchallenge
Census Income Data : https://www.kaggle.com/c/census-income/data
Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset
Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2
Share with credits: https://t.me/sqlproject
ENJOY LEARNING ๐๐
๐4
Guys, Big Announcement!
Weโve officially hit 5 Lakh followers on WhatsApp and itโs time to level up together! โค๏ธ
I've launched a Python Learning Series โ designed for beginners to those preparing for technical interviews or building real-world projects.
This will be a step-by-step journey โ from basics to advanced โ with real examples and short quizzes after each topic to help you lock in the concepts.
Hereโs what weโll cover in the coming days:
Week 1: Python Fundamentals
- Variables & Data Types
- Operators & Expressions
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Functions & Parameters
- Input/Output & Basic Formatting
Week 2: Core Python Skills
- Lists, Tuples, Sets, Dictionaries
- String Manipulation
- List Comprehensions
- File Handling
- Exception Handling
Week 3: Intermediate Python
- Lambda Functions
- Map, Filter, Reduce
- Modules & Packages
- Scope & Global Variables
- Working with Dates & Time
Week 4: OOP & Pythonic Concepts
- Classes & Objects
- Inheritance & Polymorphism
- Decorators (Intro level)
- Generators & Iterators
- Writing Clean & Readable Code
Week 5: Real-World & Interview Prep
- Web Scraping (BeautifulSoup)
- Working with APIs (Requests)
- Automating Tasks
- Data Analysis Basics (Pandas)
- Interview Coding Patterns
You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1527
Weโve officially hit 5 Lakh followers on WhatsApp and itโs time to level up together! โค๏ธ
I've launched a Python Learning Series โ designed for beginners to those preparing for technical interviews or building real-world projects.
This will be a step-by-step journey โ from basics to advanced โ with real examples and short quizzes after each topic to help you lock in the concepts.
Hereโs what weโll cover in the coming days:
Week 1: Python Fundamentals
- Variables & Data Types
- Operators & Expressions
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Functions & Parameters
- Input/Output & Basic Formatting
Week 2: Core Python Skills
- Lists, Tuples, Sets, Dictionaries
- String Manipulation
- List Comprehensions
- File Handling
- Exception Handling
Week 3: Intermediate Python
- Lambda Functions
- Map, Filter, Reduce
- Modules & Packages
- Scope & Global Variables
- Working with Dates & Time
Week 4: OOP & Pythonic Concepts
- Classes & Objects
- Inheritance & Polymorphism
- Decorators (Intro level)
- Generators & Iterators
- Writing Clean & Readable Code
Week 5: Real-World & Interview Prep
- Web Scraping (BeautifulSoup)
- Working with APIs (Requests)
- Automating Tasks
- Data Analysis Basics (Pandas)
- Interview Coding Patterns
You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1527
๐2
Forwarded from Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐
Whether youโre a student, fresher, or professional looking to upskill โ Microsoft has dropped a series of completely free courses to get you started.
Learn SQL ,Power BI & More In 2025
๐๐ถ๐ป๐ธ:-๐
https://pdlink.in/42FxnyM
Enroll For FREE & Get Certified ๐
Whether youโre a student, fresher, or professional looking to upskill โ Microsoft has dropped a series of completely free courses to get you started.
Learn SQL ,Power BI & More In 2025
๐๐ถ๐ป๐ธ:-๐
https://pdlink.in/42FxnyM
Enroll For FREE & Get Certified ๐
๐3
COMMON TERMINOLOGIES IN PYTHON - PART 1
Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them?
In this series, we would be looking at the common Terminologies in python.
It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few:
IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts.
Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately
System Python - This is the version of python that comes with your operating system
Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions
REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed)
Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed.
Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function
Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g.
>>> print("Hello World")
Hello World
Where Hello World is your return value.
Note: A return value can be any of these variable types: handle, integer, object, or string
Script - This is a file where you store your python code in a text file and execute all of the code with a single command
Script files - this is a file containing a group of python scripts
Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them?
In this series, we would be looking at the common Terminologies in python.
It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few:
IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts.
Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately
System Python - This is the version of python that comes with your operating system
Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions
REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed)
Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed.
Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function
Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g.
>>> print("Hello World")
Hello World
Where Hello World is your return value.
Note: A return value can be any of these variable types: handle, integer, object, or string
Script - This is a file where you store your python code in a text file and execute all of the code with a single command
Script files - this is a file containing a group of python scripts
๐3
๐ฏ ๐๐ฟ๐ฒ๐ฒ ๐ง๐๐ฆ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐๐ฒ๐ฟ๐ ๐๐ฟ๐ฒ๐๐ต๐ฒ๐ฟ ๐ ๐๐๐ ๐ง๐ฎ๐ธ๐ฒ ๐๐ผ ๐๐ฒ๐ ๐๐ผ๐ฏ-๐ฅ๐ฒ๐ฎ๐ฑ๐๐
๐ฏ If Youโre a Fresher, These TCS Courses Are a Must-Do๐โ๏ธ
Stepping into the job market can be overwhelmingโbut what if you had certified, expert-backed training that actually prepares you?๐จโ๐โจ๏ธ
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Donโt wait. Get certified, get confident, and get closer to landing your first jobโ ๏ธ
๐ฏ If Youโre a Fresher, These TCS Courses Are a Must-Do๐โ๏ธ
Stepping into the job market can be overwhelmingโbut what if you had certified, expert-backed training that actually prepares you?๐จโ๐โจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/42Nd9Do
Donโt wait. Get certified, get confident, and get closer to landing your first jobโ ๏ธ
Python Roadmap for 2025: Complete Guide
1. Python Fundamentals
1.1 Variables, constants, and comments.
1.2 Data types: int, float, str, bool, complex.
1.3 Input and output (input(), print(), formatted strings).
1.4 Python syntax: Indentation and code structure.
2. Operators
2.1 Arithmetic: +, -, *, /, %, //, **.
2.2 Comparison: ==, !=, <, >, <=, >=.
2.3 Logical: and, or, not.
2.4 Bitwise: &, |, ^, ~, <<, >>.
2.5 Identity: is, is not.
2.6 Membership: in, not in.
3. Control Flow
3.1 Conditional statements: if, elif, else.
3.2 Loops: for, while.
3.3 Loop control: break, continue, pass.
4. Data Structures
4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.).
4.2 Tuples: Immutability, packing/unpacking.
4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.).
4.4 Sets: Unique elements, set operations (union, intersection).
4.5 Strings: Immutability, methods (split(), strip(), replace()).
5. Functions
5.1 Defining functions with def.
5.2 Arguments: Positional, keyword, default, *args, **kwargs.
5.3 Anonymous functions (lambda).
5.4 Recursion.
6. Modules and Packages
6.1 Importing: import, from ... import.
6.2 Standard libraries: math, os, sys, random, datetime, time.
6.3 Installing external libraries with pip.
7. File Handling
7.1 Open and close files (open(), close()).
7.2 Read and write (read(), write(), readlines()).
7.3 Using context managers (with open(...)).
8. Object-Oriented Programming (OOP)
8.1 Classes and objects.
8.2 Methods and attributes.
8.3 Constructor (init).
8.4 Inheritance, polymorphism, encapsulation.
8.5 Special methods (str, repr, etc.).
9. Error and Exception Handling
9.1 try, except, else, finally.
9.2 Raising exceptions (raise).
9.3 Custom exceptions.
10. Comprehensions
10.1 List comprehensions.
10.2 Dictionary comprehensions.
10.3 Set comprehensions.
11. Iterators and Generators
11.1 Creating iterators using iter() and next().
11.2 Generators with yield.
11.3 Generator expressions.
12. Decorators and Closures
12.1 Functions as first-class citizens.
12.2 Nested functions.
12.3 Closures.
12.4 Creating and applying decorators.
13. Advanced Topics
13.1 Context managers (with statement).
13.2 Multithreading and multiprocessing.
13.3 Asynchronous programming with async and await.
13.4 Python's Global Interpreter Lock (GIL).
14. Python Internals
14.1 Mutable vs immutable objects.
14.2 Memory management and garbage collection.
14.3 Python's name == "main" mechanism.
15. Libraries and Frameworks
15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn.
15.2 Web Development: Flask, Django, FastAPI.
15.3 Testing: unittest, pytest.
15.4 APIs: requests, http.client.
15.5 Automation: selenium, os.
15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch.
16. Tools and Best Practices
16.1 Debugging: pdb, breakpoints.
16.2 Code style: PEP 8 guidelines.
16.3 Virtual environments: venv.
16.4 Version control: Git + GitHub.
๐ Python Interview ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐
https://t.me/dsabooks
๐ ๐ฃ๐ฟ๐ฒ๐บ๐ถ๐๐บ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ : https://topmate.io/coding/914624
๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ: https://whatsapp.com/channel/0029VaxbzNFCxoAmYgiGTL3Z
Join What's app channel for jobs updates: t.me/getjobss
1. Python Fundamentals
1.1 Variables, constants, and comments.
1.2 Data types: int, float, str, bool, complex.
1.3 Input and output (input(), print(), formatted strings).
1.4 Python syntax: Indentation and code structure.
2. Operators
2.1 Arithmetic: +, -, *, /, %, //, **.
2.2 Comparison: ==, !=, <, >, <=, >=.
2.3 Logical: and, or, not.
2.4 Bitwise: &, |, ^, ~, <<, >>.
2.5 Identity: is, is not.
2.6 Membership: in, not in.
3. Control Flow
3.1 Conditional statements: if, elif, else.
3.2 Loops: for, while.
3.3 Loop control: break, continue, pass.
4. Data Structures
4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.).
4.2 Tuples: Immutability, packing/unpacking.
4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.).
4.4 Sets: Unique elements, set operations (union, intersection).
4.5 Strings: Immutability, methods (split(), strip(), replace()).
5. Functions
5.1 Defining functions with def.
5.2 Arguments: Positional, keyword, default, *args, **kwargs.
5.3 Anonymous functions (lambda).
5.4 Recursion.
6. Modules and Packages
6.1 Importing: import, from ... import.
6.2 Standard libraries: math, os, sys, random, datetime, time.
6.3 Installing external libraries with pip.
7. File Handling
7.1 Open and close files (open(), close()).
7.2 Read and write (read(), write(), readlines()).
7.3 Using context managers (with open(...)).
8. Object-Oriented Programming (OOP)
8.1 Classes and objects.
8.2 Methods and attributes.
8.3 Constructor (init).
8.4 Inheritance, polymorphism, encapsulation.
8.5 Special methods (str, repr, etc.).
9. Error and Exception Handling
9.1 try, except, else, finally.
9.2 Raising exceptions (raise).
9.3 Custom exceptions.
10. Comprehensions
10.1 List comprehensions.
10.2 Dictionary comprehensions.
10.3 Set comprehensions.
11. Iterators and Generators
11.1 Creating iterators using iter() and next().
11.2 Generators with yield.
11.3 Generator expressions.
12. Decorators and Closures
12.1 Functions as first-class citizens.
12.2 Nested functions.
12.3 Closures.
12.4 Creating and applying decorators.
13. Advanced Topics
13.1 Context managers (with statement).
13.2 Multithreading and multiprocessing.
13.3 Asynchronous programming with async and await.
13.4 Python's Global Interpreter Lock (GIL).
14. Python Internals
14.1 Mutable vs immutable objects.
14.2 Memory management and garbage collection.
14.3 Python's name == "main" mechanism.
15. Libraries and Frameworks
15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn.
15.2 Web Development: Flask, Django, FastAPI.
15.3 Testing: unittest, pytest.
15.4 APIs: requests, http.client.
15.5 Automation: selenium, os.
15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch.
16. Tools and Best Practices
16.1 Debugging: pdb, breakpoints.
16.2 Code style: PEP 8 guidelines.
16.3 Virtual environments: venv.
16.4 Version control: Git + GitHub.
๐ Python Interview ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐
https://t.me/dsabooks
๐ ๐ฃ๐ฟ๐ฒ๐บ๐ถ๐๐บ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ : https://topmate.io/coding/914624
๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ: https://whatsapp.com/channel/0029VaxbzNFCxoAmYgiGTL3Z
Join What's app channel for jobs updates: t.me/getjobss
๐2
Forwarded from Artificial Intelligence
๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ถ๐๐ต ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ ๐ฏ๐ ๐๐ผ๐ผ๐ด๐น๐ฒ โ ๐๐ฒ๐ฎ๐ฟ๐ป ๐ฃ๐๐๐ต๐ผ๐ป ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐๐
If youโre starting your journey into data analytics, Python is the first skill you need to master๐จโ๐
A free, beginner-friendly course by Google on Kaggle, designed to take you from zero to data-ready with hands-on coding practice๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4k24zGl
Just start coding right in your browserโ ๏ธ
If youโre starting your journey into data analytics, Python is the first skill you need to master๐จโ๐
A free, beginner-friendly course by Google on Kaggle, designed to take you from zero to data-ready with hands-on coding practice๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4k24zGl
Just start coding right in your browserโ ๏ธ
What for what?
๐ผ๏ธ Frontend
HTML + CSS
Javascript
React
VueJs
Angular
Svelte
๐ Backend:
Nodejs/Express
Python/Django
PHP/Laravel
Java
C#
๐ฝ Database
MongoDB
MySQL
Postgres
Redis
๐ฅ๏ธ Desktop
Electron
Tairi
PyQt
๐ฑPhones:
React Native
Flutter
Swift
Kotlin
๐ฅ๏ธ System
Go
C++
Rust
๐ผ๏ธ Frontend
HTML + CSS
Javascript
React
VueJs
Angular
Svelte
๐ Backend:
Nodejs/Express
Python/Django
PHP/Laravel
Java
C#
๐ฝ Database
MongoDB
MySQL
Postgres
Redis
๐ฅ๏ธ Desktop
Electron
Tairi
PyQt
๐ฑPhones:
React Native
Flutter
Swift
Kotlin
๐ฅ๏ธ System
Go
C++
Rust
๐4
๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ฌ๐ผ๐ ๐๐ฎ๐ปโ๐ ๐ ๐ถ๐๐๐
Microsoft Learn is offering 5 must-do courses for aspiring data scientists, absolutely free๐ฅ๐
These self-paced learning modules are designed by industry experts and cover everything from Python and ML to Microsoft Fabric and Azure๐ฏ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4iSWjaP
Job-ready content that gets you resultsโ ๏ธ
Microsoft Learn is offering 5 must-do courses for aspiring data scientists, absolutely free๐ฅ๐
These self-paced learning modules are designed by industry experts and cover everything from Python and ML to Microsoft Fabric and Azure๐ฏ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4iSWjaP
Job-ready content that gets you resultsโ ๏ธ
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Python For Everything!๐
Python, the versatile language, can be combined with various libraries to build amazing things:๐
1. Python + Pandas = Data Manipulation
2. Python + Scikit-Learn = Machine Learning
3. Python + TensorFlow = Deep Learning
4. Python + Matplotlib = Data Visualization
5. Python + Seaborn = Advanced Visualization
6. Python + Flask = Web Development
7. Python + Pygame = Game Development
8. Python + Kivy = Mobile App Development
#Python
Python, the versatile language, can be combined with various libraries to build amazing things:๐
1. Python + Pandas = Data Manipulation
2. Python + Scikit-Learn = Machine Learning
3. Python + TensorFlow = Deep Learning
4. Python + Matplotlib = Data Visualization
5. Python + Seaborn = Advanced Visualization
6. Python + Flask = Web Development
7. Python + Pygame = Game Development
8. Python + Kivy = Mobile App Development
#Python
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Forwarded from Artificial Intelligence
๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐ฆ๐ธ๐ถ๐น๐น๐ ๐๐ถ๐๐ต ๐ง๐ต๐ฒ๐๐ฒ ๐๐ฟ๐ฒ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐
Ready to take your career to the next level?๐๐
These free certification courses offer a golden opportunity to build expertise in tech, programming, AI, and moreโall for free!๐ฅ๐ป
๐๐ข๐ง๐ค๐:-
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These courses are your stepping stones to successโ ๏ธ
Ready to take your career to the next level?๐๐
These free certification courses offer a golden opportunity to build expertise in tech, programming, AI, and moreโall for free!๐ฅ๐ป
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4gPNbDc
These courses are your stepping stones to successโ ๏ธ
๐ unique web development project ideas for freshers
1. Freelance Client Management System:
Build a system for freelancers to track client details, project timelines, invoices, and payments. Incorporate features like task lists, payment reminders, and time tracking. Youโll get hands-on experience with CRUD operations and secure user authentication.
2. Nonprofit Donation Platform:
Develop a platform for nonprofit organizations where users can donate to causes. You can include a donation tracker, goal setting, and integration with payment gateways like Stripe or PayPal. This will involve front-end design and server-side payment processing.
3. Interactive Educational Platform for Kids:
Create a platform where kids can learn basic subjects like math, spelling, or coding through fun, interactive games. Add features like badges, scoreboards, and quizzes to keep them engaged. This will give you experience in animations, gamification, and user experience design.
4. Real Estate Listings Website:
Build a platform where agents or homeowners can list properties for rent or sale. Include features like advanced search, map integration, and filters for property type, price, and location. Youโll get exposure to working with APIs and map services like Google Maps.
5. Virtual Art Gallery:
Design a virtual space where artists can display their work. Use animations to simulate a walk-through gallery, allowing users to explore and click on individual pieces for more details. Youโll explore 3D rendering, animations, and responsive design in this project.
6. Job Application Tracker:
Help job seekers keep track of job applications by building a dashboard that organizes companies, positions, interview stages, and deadlines. This app could send automated reminders for follow-ups, giving you experience with notifications and task scheduling.
7. Music Streaming Player:
Develop a personalized music player where users can create and share playlists. Integrate it with a music API like Spotify or Apple Music to pull in tracks. This project will introduce you to audio streaming, user authentication, and data storage for playlists.
8. Mental Health Tracker:
Create a web app where users can log daily moods, set mental health goals, and track progress over time. Incorporate features like journaling, breathing exercises, and visual data charts. This would involve data collection, chart visualization, and user interface design.
9. Sustainable Shopping Guide:
Build a platform where users can discover eco-friendly products and businesses. You can integrate a rating system for users to rate brands on sustainability practices. The project will teach you about APIs, user-generated content, and social proof.
10. Virtual Study Group App:
Create an app where students can join or form virtual study groups, chat in real-time, and share resources like notes and flashcards. You can add video integration or virtual whiteboards to make the platform more collaborative. This project will help you understand real-time data transfer, group authentication, and video/chat APIs.
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ๐๐
1. Freelance Client Management System:
Build a system for freelancers to track client details, project timelines, invoices, and payments. Incorporate features like task lists, payment reminders, and time tracking. Youโll get hands-on experience with CRUD operations and secure user authentication.
2. Nonprofit Donation Platform:
Develop a platform for nonprofit organizations where users can donate to causes. You can include a donation tracker, goal setting, and integration with payment gateways like Stripe or PayPal. This will involve front-end design and server-side payment processing.
3. Interactive Educational Platform for Kids:
Create a platform where kids can learn basic subjects like math, spelling, or coding through fun, interactive games. Add features like badges, scoreboards, and quizzes to keep them engaged. This will give you experience in animations, gamification, and user experience design.
4. Real Estate Listings Website:
Build a platform where agents or homeowners can list properties for rent or sale. Include features like advanced search, map integration, and filters for property type, price, and location. Youโll get exposure to working with APIs and map services like Google Maps.
5. Virtual Art Gallery:
Design a virtual space where artists can display their work. Use animations to simulate a walk-through gallery, allowing users to explore and click on individual pieces for more details. Youโll explore 3D rendering, animations, and responsive design in this project.
6. Job Application Tracker:
Help job seekers keep track of job applications by building a dashboard that organizes companies, positions, interview stages, and deadlines. This app could send automated reminders for follow-ups, giving you experience with notifications and task scheduling.
7. Music Streaming Player:
Develop a personalized music player where users can create and share playlists. Integrate it with a music API like Spotify or Apple Music to pull in tracks. This project will introduce you to audio streaming, user authentication, and data storage for playlists.
8. Mental Health Tracker:
Create a web app where users can log daily moods, set mental health goals, and track progress over time. Incorporate features like journaling, breathing exercises, and visual data charts. This would involve data collection, chart visualization, and user interface design.
9. Sustainable Shopping Guide:
Build a platform where users can discover eco-friendly products and businesses. You can integrate a rating system for users to rate brands on sustainability practices. The project will teach you about APIs, user-generated content, and social proof.
10. Virtual Study Group App:
Create an app where students can join or form virtual study groups, chat in real-time, and share resources like notes and flashcards. You can add video integration or virtual whiteboards to make the platform more collaborative. This project will help you understand real-time data transfer, group authentication, and video/chat APIs.
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ๐๐
๐3
๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ฉ๐ถ๐ฟ๐๐๐ฎ๐น ๐๐ป๐๐ฒ๐ฟ๐ป๐๐ต๐ถ๐ฝ ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐ ๐๐ป ๐ง๐ผ๐ฝ ๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐๐
1๏ธโฃ BCG Data Science & Analytics Virtual Experience
2๏ธโฃ TATA Data Visualization Internship
3๏ธโฃ Accenture Data Analytics Virtual Internship
๐๐ข๐ง๐ค๐:-
https://pdlink.in/409RHXN
Enroll for FREE & Get Certified ๐
1๏ธโฃ BCG Data Science & Analytics Virtual Experience
2๏ธโฃ TATA Data Visualization Internship
3๏ธโฃ Accenture Data Analytics Virtual Internship
๐๐ข๐ง๐ค๐:-
https://pdlink.in/409RHXN
Enroll for FREE & Get Certified ๐
๐1
Forwarded from Artificial Intelligence
๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐ญ๐ฌ๐ฌ% ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐๐๐ฟ๐ฒ, ๐๐, ๐๐๐ฏ๐ฒ๐ฟ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ & ๐ ๐ผ๐ฟ๐ฒ๐
Want to upskill in Azure, AI, Cybersecurity, or App Developmentโwithout spending a single rupee?๐จโ๐ป๐ฏ
Enter Microsoft Learn โ a 100% free platform that offers expert-led learning paths to help you grow๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4k6lA2b
Enjoy Learning โ ๏ธ
Want to upskill in Azure, AI, Cybersecurity, or App Developmentโwithout spending a single rupee?๐จโ๐ป๐ฏ
Enter Microsoft Learn โ a 100% free platform that offers expert-led learning paths to help you grow๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4k6lA2b
Enjoy Learning โ ๏ธ
๐1
Useful Telegram Channels to boost your career ๐๐
Free Courses with Certificate
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ENJOY LEARNING ๐๐
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Stock Marketing & Investment Banking
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Cryptocurrency & Bitcoin
Python Projects
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING ๐๐
๐5
๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ณ๐ฟ๐ผ๐บ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ โ ๐๐ผ๐ฟ ๐๐ฟ๐ฒ๐ฒ!๐
Want to break into machine learning but not sure where to start?๐ป
Googleโs Machine Learning Crash Course is the perfect launchpadโabsolutely free, beginner-friendly, and created by the engineers behind the tools.๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jEiJOe
All The Best ๐
Want to break into machine learning but not sure where to start?๐ป
Googleโs Machine Learning Crash Course is the perfect launchpadโabsolutely free, beginner-friendly, and created by the engineers behind the tools.๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jEiJOe
All The Best ๐
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