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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

Today’s Study Update 📚 day7/100 • Learned Python OOPS (main concepts) • Revised classes and objects • Went through basics of inheritance & encapsulation • Started exploring the Seaborn library • Checked out some basic Seaborn plots

hello everyone today i had studied hypothesis testing in statistics significance value p in various testings and its impact The basics patterns of dsa will continue learning from tommorow

Hello everyone Today'd update Day 8/100 • Worked on a mini Zomato project • Performed basic data analysis on the dataset • Explored insights using Python • Created visualizations using Matplotlib • Revised important NumPy concepts and functions Focu

Day 01- -Got to know about asyncio python - Using with multithreading and multiprocessing -Started Web dev again for the last time (I had started it earlier multiple times but never maintained a consistency) revised basic JavaScript

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

ARIS Beta Testing Update — A Small Incident, Big Learnings About ten days into ARIS beta testing, everything seemed perfect. I even wondered why my friend—who’s testing it—hadn’t called yet. And right on cue, the call came. “the system isn’t moving.”

What is the difference between MVP, prototype and proof-of-concept⁉️ An MVP (minimum viable product) is bare minimum needed to test core hypothesis with real customers. Fast iterations based on feedback. ( Made a post on it in detail check it out).

I had started a free full stack learning series on Instagram. The micro learning series is created for anyone who wants to learn coding from absolute scratch and dont need any kind of previous coding experience or technical background to learn codin

Certain subjects require more than a basic understanding to perform well. Areas like statistics, financial modeling, research methods, and technical problem-solving demand clarity in both theory and real application. Many business students, for examp