Back

Hello everyone Learned the basics of hypothesis testing today — Z-test, T-test, p-value calculation, and significance level. Understanding how statistical decisions are made using data, not assumptions. Rejection region method ,uses of z table an

Hello everyone today learning update Today i have statistics for machine learning and data science In which i had studied about various hypothestis test , right now learnt p test in detail On the other hand revised bit of dsa and solved 3 question

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

Statistical interview questions for entry-level data analyst roles in an MNC. 1. Explain the difference between mean, median, and mode. When would you use each? 2. How do you calculate the variance and standard deviation of a dataset? 3. What is ske

Data scientist, Data analyst, AI engineer, or AI agent builder? Which one is best? I've explained below. 1. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 This field teaches you how to 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗱𝗮𝘁𝗮, 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝘁𝗵𝗲𝗺 𝗶

Startup basics Day 6: Iterating Based on Feedback By now, you’ve learned to launch your MVP, started marketing, and even found your first customers. Today, we’re talking about one of the most important aspects of building a startup: iteration. Lis