Coding is tricky. Coding in interviews feels even harder. It’s intimidating, uncertain and hard to prepare. Here are 4 ways to do it!

1. Interview Cake: I think it is some of the best prep available and it is targeted toward weaknesses many data scientists have in algorithms and data structures: https://www.interviewcake.com/

2. Leetcode: While developed for software engineering interviews, it has a LOT of useful content for learning algorithms. For data science, I'd suggest focusing on Easy/Medium: https://leetcode.com/

3. Cracking the Coding Interview: Amazing book, sometimes referred to as CTCI. A classic and one you should have: https://cin.ufpe.br/~fbma/Crack/Cracking%20the%20Coding%20Interview%20189%20Programming%20Questions%20and%20Solutions.pdf

4. Daily Coding Problem: The book and the website are awesome. Work on a daily problem. This was my go to resource for when I was looking to stay sharp: https://www.dailycodingproblem.com/

Deep Learning Project Ideas

Many people still aren't fully utilizing the power of Telegram.

There are numerous channels on Telegram that can help you find the latest job and internship opportunities?

Here are some of my top channel recommendations to help you get started 👇👇

Latest Jobs & Internships: https://t.me/getjobss

Jobs Preparation Resources:
https://t.me/jobinterviewsprep

Data Science Jobs:
https://t.me/datasciencej

Interview Tips:
https://t.me/Interview_Jobs

Data Analyst Jobs:
https://t.me/jobs_SQL

AI Jobs:
https://t.me/AIjobz

Remote Jobs:
https://t.me/jobs_us_uk

FAANG Jobs:
https://t.me/FAANGJob

Software Developer Jobs: https://t.me/internshiptojobs

If you found this helpful, don’t forget to like, share, and follow for more resources that can boost your career journey!

Let me know if you know any other useful telegram channel

ENJOY LEARNING👍👍

🚀🔥 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 — 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺
Master the most in-demand AI skill in today’s job market: building autonomous AI systems.

In Ready Tensor’s free, project-first program, you’ll create three portfolio-ready projects using 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, and vector databases — and deploy production-ready agents that employers will notice.

Includes guided lectures, videos, and code.
𝗙𝗿𝗲𝗲. 𝗦𝗲𝗹𝗳-𝗽𝗮𝗰𝗲𝗱. 𝗖𝗮𝗿𝗲𝗲𝗿-𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴.

👉 Apply now: https://go.readytensor.ai/cert-593-agentic-ai-certification

React ♥️ for more useful resources

👆40 Project Ideas For Web Developers

7 Beginner Machine Learning Projects To Complete This Weekend

📊 1. Predicting Titanic Survival

Predict who survived using age, gender & class. Learn data cleaning + logistic regression basics. Click here

📈 2. Predicting Stock Prices

Forecast stock trends with ARIMA or LSTM. Practice feature engineering & MSE evaluation. click here

📧 3. Email Spam Classifier

Build an NLP model to detect spam. Use TF-IDF + Naive Bayes/SVM for accuracy. Click here

🔢 4. Handwritten Digit Recognition

Train a CNN on MNIST to identify digits (0–9). Explore image preprocessing & deep learning. Click here

🎬 5. Movie Recommendation System

Suggest movies using collaborative filtering (SVD) & MovieLens dataset. Measure with RMSE. Click here

🔄 6. Customer Churn Prediction

Find which customers may leave. Handle imbalanced data & use logistic regression/random forest. Click here

👤 7. Face Detection

Use OpenCV Haar cascades to detect faces in images/videos. Learn filtering & edge detection. Find here

Coding and Aptitude Round before interview

Coding challenges are meant to test your coding skills (especially if you are applying for ML engineer role). The coding challenges can contain algorithm and data structures problems of varying difficulty. These challenges will be timed based on how complicated the questions are. These are intended to test your basic algorithmic thinking.
Sometimes, a complicated data science question like making predictions based on twitter data are also given. These challenges are hosted on HackerRank, HackerEarth, CoderByte etc. In addition, you may even be asked multiple-choice questions on the fundamentals of data science and statistics. This round is meant to be a filtering round where candidates whose fundamentals are little shaky are eliminated. These rounds are typically conducted without any manual intervention, so it is important to be well prepared for this round.

Sometimes a separate Aptitude test is conducted or along with the technical round an aptitude test is also conducted to assess your aptitude skills. A Data Scientist is expected to have a good aptitude as this field is continuously evolving and a Data Scientist encounters new challenges every day. If you have appeared for GMAT / GRE or CAT, this should be easy for you.

Resources for Prep:

For algorithms and data structures prep,Leetcode and Hackerrank are good resources.

For aptitude prep, you can refer to IndiaBixand Practice Aptitude.

With respect to data science challenges, practice well on GLabs and Kaggle.

Brilliant is an excellent resource for tricky math and statistics questions.

For practising SQL, SQL Zoo and Mode Analytics are good resources that allow you to solve the exercises in the browser itself.

Things to Note:

Ensure that you are calm and relaxed before you attempt to answer the challenge. Read through all the questions before you start attempting the same. Let your mind go into problem-solving mode before your fingers do!

In case, you are finished with the test before time, recheck your answers and then submit.

Sometimes these rounds don’t go your way, you might have had a brain fade, it was not your day etc. Don’t worry! Shake if off for there is always a next time and this is not the end of the world.

Web Development Project Ideas

Beginner-Level Projects

(Focus: HTML, CSS, basic JavaScript)

1. Calculator

2. Quiz App

3. Rock Paper Scissors

4. Note App

5. Stopwatch App

6. QR Code Reader

7. Weather App

8. Landing Page

9. Password Generator

10. Tic Tac Toe Game

11. Drawing App

12. Meme Generator

13. To-Do List App

14. Typing Speed Test

15. Random User API


Intermediate-Level Projects

(Focus: JavaScript, basic backend, APIs, local storage, UI/UX)

1. Link Shortener Website

2. Portfolio Website

3. Food Order Website

4. Movie App

5. Chat App

6. Twitter Clone

7. Survey App

8. E-Book Site

9. File Sharing App

10. Parallax Website

11. Tracker App

12. Memory App

13. Giphy Clone

14. Chess Game

15. Music Player


Advanced-Level Projects

(Focus: Full Stack, authentication, real-time, complex logic, deployment)

1. Ecommerce Website

2. Instagram Clone

3. Whatsapp Clone

4. Netflix Clone

5. Job Search App

6. Pinterest Clone

7. Dating App

8. Social Media Dashboard

9. User Activity Tracker

10. Stock-Trading App

React ❤️ for more

Join our WhatsApp channel for more: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z

Here are some project ideas to Practice C++ Programming -

1. Calculator Application: Create a command-line calculator with support for basic arithmetic operations and more advanced features like square roots and trigonometric functions.

2. Student Record System: Build a program to manage student records, including details like names, grades, and attendance.

3. Task Tracker: Create a task tracker application that allows users to add, view, and complete tasks. Use file handling to store task data.

4. Simple Game: Develop a text-based or console-based game like Tic-Tac-Toe, Hangman, or a simple maze solver.

5. Inventory Management System: Build an inventory management system for a small store. Track product details, prices, and stock levels.

6. Chat Application: Create a basic command-line chat application that allows users to send messages to each other using sockets for networking.

Web Development Mastery: From Basics to Advanced 🚀

Start with the fundamentals:
- HTML
- CSS
- JavaScript
- Responsive Design
- Basic DOM Manipulation
- Git and Version Control

You can grasp these essentials in just a week.

Once you're comfortable, dive into intermediate topics:
- AJAX
- APIs
- Frameworks like React, Angular, or Vue
- Front-end Build Tools (Webpack, Babel)
- Back-end basics with Node.js, Express, or Django

Take another week to solidify these skills.

Ready for the advanced level? Explore:
- Authentication and Authorization
- RESTful APIs
- GraphQL
- WebSockets
- Docker and Containerization
- Testing (Unit, Integration, E2E)

These advanced concepts can be mastered in a couple of weeks.

Remember, mastery comes with practice:
- Create a simple web project
- Tackle an intermediate-level project
- Challenge yourself with an advanced project involving complex features

Consistent practice is the key to becoming a web development pro.

Best platforms to learn:
- FreeCodeCamp
- Web Development Free Courses
- Web Development Roadmap
- Projects
- Bootcamp

Share your progress and learnings with others in the community. Enjoy the journey! 👩‍💻👨‍💻

Join @free4unow_backup for more free resources.

Like this post if it helps 😄❤️

ENJOY LEARNING 👍👍

Master Javascript :

The JavaScript Tree 👇
|
|── Variables
| ├── var
| ├── let
| └── const
|
|── Data Types
| ├── String
| ├── Number
| ├── Boolean
| ├── Object
| ├── Array
| ├── Null
| └── Undefined
|
|── Operators
| ├── Arithmetic
| ├── Assignment
| ├── Comparison
| ├── Logical
| ├── Unary
| └── Ternary (Conditional)
||── Control Flow
| ├── if statement
| ├── else statement
| ├── else if statement
| ├── switch statement
| ├── for loop
| ├── while loop
| └── do-while loop
|
|── Functions
| ├── Function declaration
| ├── Function expression
| ├── Arrow function
| └── IIFE (Immediately Invoked Function Expression)
|
|── Scope
| ├── Global scope
| ├── Local scope
| ├── Block scope
| └── Lexical scope
||── Arrays
| ├── Array methods
| | ├── push()
| | ├── pop()
| | ├── shift()
| | ├── unshift()
| | ├── splice()
| | ├── slice()
| | └── concat()
| └── Array iteration
| ├── forEach()
| ├── map()
| ├── filter()
| └── reduce()|
|── Objects
| ├── Object properties
| | ├── Dot notation
| | └── Bracket notation
| ├── Object methods
| | ├── Object.keys()
| | ├── Object.values()
| | └── Object.entries()
| └── Object destructuring
||── Promises
| ├── Promise states
| | ├── Pending
| | ├── Fulfilled
| | └── Rejected
| ├── Promise methods
| | ├── then()
| | ├── catch()
| | └── finally()
| └── Promise.all()
|
|── Asynchronous JavaScript
| ├── Callbacks
| ├── Promises
| └── Async/Await
|
|── Error Handling
| ├── try...catch statement
| └── throw statement
|
|── JSON (JavaScript Object Notation)
||── Modules
| ├── import
| └── export
|
|── DOM Manipulation
| ├── Selecting elements
| ├── Modifying elements
| └── Creating elements
|
|── Events
| ├── Event listeners
| ├── Event propagation
| └── Event delegation
|
|── AJAX (Asynchronous JavaScript and XML)
|
|── Fetch API
||── ES6+ Features
| ├── Template literals
| ├── Destructuring assignment
| ├── Spread/rest operator
| ├── Arrow functions
| ├── Classes
| ├── let and const
| ├── Default parameters
| ├── Modules
| └── Promises
|
|── Web APIs
| ├── Local Storage
| ├── Session Storage
| └── Web Storage API
|
|── Libraries and Frameworks
| ├── React
| ├── Angular
| └── Vue.js
||── Debugging
| ├── Console.log()
| ├── Breakpoints
| └── DevTools
|
|── Others
| ├── Closures
| ├── Callbacks
| ├── Prototypes
| ├── this keyword
| ├── Hoisting
| └── Strict mode
|
| END __