Stage 2Week 3-6

Coding Ready

Master algorithm problems, data structures, and ML coding. Practice LeetCode-style problems and implement ML algorithms from scratch.

Goal:Pass coding rounds

24items

⚡

Algorithms & Data Structures

Master LeetCode-style problems commonly asked in ML/AI interviews. Focus on patterns and problem-solving strategies.

💻

ML Coding

Implement ML algorithms from scratch - gradient descent, regularization, neural networks, and more.

Linear Regression Implementation

ML Codingeasy

🎯 Real Interview

Implement K-Means Clustering

ML Coding: ml-algorithms | 35-45 minutes

ML Codingmedium

Implement Linear Regression with Gradient Descent

ML Coding: ml-algorithms | 30-40 minutes

ML Codingmedium

Implement Softmax and Cross-Entropy Loss

ML Coding: neural-networks | 20-30 minutes

ML Codingeasy

Coding Ready

Algorithms & Data Structures

Linked List Cycle

Min Stack

Valid Anagram

Climbing Stairs

Invert Binary Tree

Merge K Sorted Lists

Kth Largest Element in an Array

Binary Tree Level Order Traversal

Group Anagrams

Reverse Linked List

Coin Change

Clone Graph

Number of Islands

Top K Frequent Elements

Same Tree

Merge Two Sorted Lists

Contains Duplicate

Valid Parentheses

Two Sum

Maximum Depth of Binary Tree

ML Coding

Linear Regression Implementation

Implement K-Means Clustering

Implement Linear Regression with Gradient Descent

Implement Softmax and Cross-Entropy Loss