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Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume

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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

Hello everyone, I am a recent college graduate with a degree in Information Technology, and I am actively seeking internship opportunities in the Data Analytics field. I have hands-on experience with advanced Excel, Power BI , Python libraries such

The “Entry-Level” AI Engineer Job Description of 2025 🚨 HR today: > “We’re looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning

Hi everyone! 👋 I’m Ankit Rai, currently pursuing my MCA with a specialization in Data Science and have recently completed “The Ultimate Job Ready Data Science Course” by CodeWithHarry, focusing on real-world projects using Python, SQL, Machine Learn

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A next advance step towards ML model working flow by learning and demonstrating a simple Linear regression Algorithm. It's an exciting and fun step after learning and understanding practically the concepts of NumPy, Pandas , Matplotlib and Sklearn f

🧠 *Technologies for Data Science, Machine Learning & AI!* part 1 📊 *Data Science* ▪️ Python – The go-to language for Data Science ▪️ R – Statistical Computing and Graphics ▪️ Pandas – Data Manipulation & Analysis ▪️ NumPy – Numerical Computing ▪️