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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

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

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

🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath

✅ Actively Looking for Full-Time Opportunities 📍 Location: Bangalore / Remote / Hybrid 💼 Roles Targeted: Data Analyst / Data Engineer AI/ML Engineer (GenAI, NLP, DL) Software Developer (Python, Backend, APIs) Cloud Engineer / DevOps (Entry-leve

Hi I am PRAKHAR Mishra, I’m writing to express interest in Data Scientist data analytics or DevOps role.I bring 3 years of experience from the National Payments Corporation of India (NPCI), where I worked on critical products like UPI and RuPay, ha

🔍 Job Opportunity Sought – IT Engineer / Software Developer in India 👨‍💻 Name: Anup Thatal 📍 Location: Kathmandu, Nepal | Open to remote opportunities 📧 Email: anupthatal2@gmail.com 🔗 LinkedIn: linkedin.com/in/anup-thatal-988a51179 💻 GitHub: g

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