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Sreya G

Stealth • 8m

Hello everyone! I am from a tier 3 college which have a decent campus placements. Recently the quality of teaching decreased a lot. Not all the teachers have good grip on the subject and their way of delivering the content is too bad. Moreover I am d

Anonymous 1

Stealth • 8m

Hey Shreya, It’s commendable that you’re proactive and seeking guidance to enhance your skills in AI and data science. Focus on building a solid foundation. Understand core concepts in mathematics (linear algebra, calculus, probability), statistics, and programming (Python or R). Strengthening these basics will serve as a strong platform for advanced topics. R is another valuable language for statistical analysis and data visualization. Familiarize yourself with its syntax and packages.

0 replies1 like

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Shraddha Saraswat

Stealth • 5m

Hi everyone! 👋 Introduction: I'm Shraddha Saraswat, a dedicated Data Analyst with a strong background in data collection, cleaning, analysis, and visualization. I am currently exploring new opportunities to leverage my skills and expertise. 📊 Pro

3 replies5 likes

Payal Manghnani

Stealth • 11d

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

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Yogesh Jamdade

Stealth • 6m

NumPy 2.0: A Game Changer (Released June 2024) NumPy 2.0, released in June 2024, is a major update for scientific computing in Python. Here's what's exciting: Variable-length strings: Finally! Store and manipulate text data with ease using new `Str

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Anurag C

Stealth • 7d

I want to establish a startup focused on empowering small businesses through innovative data-driven solutions. Using data analytics tools, I aim to create advanced data visualization platforms that provide actionable insights, while integrating AI-po

0 replies2 likes

Payal Manghnani

Stealth • 26d

What Programming languages do you use on regular basis? A study from 2018 with a 18,827 sample size voted Python (87%) as the top programming language for data analysis and data science, followed by SQL (44%) and R language (31%), respectively. Do

9 replies15 likes

Ansh Kadam

Stealth • 1m

Here are 5 Ted Talks that will make you smarter and help you grow in life. 1 - How Great Leaders Inspire Action by Simon Sinek - Sinek explores the concept of the Golden Circle and explains why some leaders and organizations inspire action when othe

7 replies11 likes

Pranjal Pandey
•

CompSci • 8m

(2/3) 4. Intellectual Property Protection: Protect your intellectual property by registering trademarks, copyrights, and patents as necessary. This helps safeguard your brand, products, and innovations from infringement. 5. Compliance with Tax Laws

0 replies9 likes

Payal Manghnani

Stealth • 5m

Steps to Enter Data Science 1. Learn the Basics: Master programming languages like Python and R, as well as tools like TensorFlow, sci-kit-learn, and Tableau. 2. Choose Your Field: Select a specific industry, such as healthcare or finance, and lear

0 replies10 likes

PAVAN LENKALA

Stealth • 6m

Flash ✨ Google has launched its AI chatbot app, Gemini 🌟, in India, now available on the Google Play Store. This app supports English and nine Indian languages, including Hindi, Bengali, and Tamil 🗣️. Users can also access Gemini through Google A

0 replies4 likes

Yash Barnwal

Stealth • 2m

AMD generate revenue across various sectors, including Data Center ($1.6B), Client ($1.5B), Gaming ($1.5B), and Embedded ($1.2B). With total revenue of $5.8B, AMD achieves a gross profit of $2.7B and a net profit of $0.3B (5% margin). Key expenses in