📘 Data Science Journey | Day 3 🔥 Day 28 of my #100daysofcodechallenge Today I continued revising Python fundamentals. Here’s what I covered today: 📌 Loops in Python 📌 Lists and List Methods 📌 Tuples and Tuple Methods 📌 Set & Set Methods 📌 Dictionary & Dictionary Methods 👉 See you tomorrow for Day 29. #DataScience #Python #LearningJourney #Consistency #100daysofcode
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🚀 Quick demo of my recent Python practice work. a small data cleaning workflow using: 🐍 Python 📂 JSON handling 🧠 OOP concepts 📓 Jupyter Lab (Anaconda) Still building strong fundamentals before diving deeper into NumPy and ML. Code available here: 🔗 https://lnkd.in/gkbJECTr #Python #AI #MachineLearning #DataScience #LearningInPublic
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Starting my journey into Data Science, one question kept coming up: Why Python? 🐍 After diving into the labs and coursework, the answer is clear. It’s not just about writing code; it’s about how efficiently we can turn raw data into actionable insights. Python’s beginner-friendly syntax allows us to focus on solving the problem rather than struggling with the language itself. From Pandas for data manipulation to Scikit-learn for machine learning, the ecosystem is unmatched. 🚀 What was the first programming language you picked up for Data Science? Let’s discuss in the comments! #DataScience #Python #LearningJourney #DataAnalytics #TechCommunity
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🚀 Unlock your potential with our latest article on Pynfinity! 🐍✨ Dive deep into Python & Data Science mastery. Check it out here! 👇 #Python #DataScience #Learning #Tech #Pynfinity 🔗 https://lnkd.in/g-gzyWFH
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🚀 Day 21 – 100 Days of Python & Data Science Today, I worked on improving my model evaluation skills — understanding accuracy, confusion matrix, and how to interpret results properly. Not just building models, but learning how to analyze their performance. Step by step growth 💻✨ #100DaysOfPython #DataScience #MachineLearning #Python #LearningJourney 💻GitHub : https://lnkd.in/dUG6qvk5
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📊 What is a Pandas Series in Python? Understanding data analysis starts with mastering the fundamentals, and one of the most important concepts in Python is the Pandas Series. Think of it as ▪ A single column in a spreadsheet ▪ A specialised list with labelled indexes ▪ The foundation of data manipulation in Pandas This video explains Pandas Series most thoroughly 👇 https://lnkd.in/gbcgAutu #Python #Pandas #DataScience #AI #Analytics #LearnPython #TuxAcademy
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The future of software is code that reasons. And Python is your first step. In this video course, you'll learn Python fundamentals, NumPy, Pandas, SQL, Flask, LLMs, and everything else you need to dive into AI Agent development. https://lnkd.in/giE8rByg
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🚀 Excited to share my project — Industrial Human Resource Geo-Visualization Dashboard built using Python, Pandas, Scikit-learn, Plotly and Streamlit! GitHub: https://lnkd.in/g8NXc7uG #Python #DataScience #Streamlit #GUVI #MachineLearning
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A quick #geopandas cheat sheet on - and if you want to learn all of these (and a lot) more in Python, then: 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 - 𝐒𝐞𝐜𝐨𝐧𝐝 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 The book: https://lnkd.in/dy-7m_zz Sample: https://lnkd.in/dVP-Ty-Y Reviews: https://lnkd.in/dMii-cxX Overview: https://lnkd.in/d5anyYAU
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Sharing my handwritten Python notes as part of my Data Analytics learning journey. 🐍 From basics to real concepts — writing things down helps me understand coding more deeply. Consistency > Perfection. #Python #DataAnalytics #LearningInPublic #CodingJourney #StudentLife
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