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The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

🧵 Let’s pen down some of the most interesting machine coding questions(Frontend) asked during an interview!?

🎯 Progress Update – DSA with Java I'm excited to share that I’ve reached the halfway point in my Data Structures and Algorithms (DSA) journey using Java. So far, I’ve covered essential topics including Arrays, Strings, Recursion, Backtracking, and

An index is an organized list or reference system that helps locate information quickly. It can appear in books, databases, or websites, showing topics and page numbers. In finance, an index measures market trends. In programming, an index indicates

In an interview, I was asked: 'Given an API log file with millions of entries, how would you efficiently determine the top 10 most frequently called APIs?' Curious to hear different approaches—how would you tackle this?

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

Day 11 of learning Data science as a beginner Topic: creating data structure In my previous post I discussed about the difference between panda's series and data frames we typically use data frames more often as compared to series There are a lot

Most people had never heard of Astronomer until a Coldplay concert changed that. Despite quietly powering 80,000+ companies including giants like Apple, Netflix, Stripe, Paytm, Swiggy, and Bloomberg — Astronomer stayed under the radar. That is, un

Day 10 of learning data science as a beginner Topic: data analysis using pandas Pandas is one of the python's most famous open source library and it is used for a variety of tasks like data manipulation, data cleaning and for analysis of data. Pand