Fundamentals in Python - Search Videos

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Abdul Mubeen on Instagram: "👉 But to master ML, you need strong fundamentals in Python, development, logic, and strategy — and that takes time. So here’s my real advice 👇 ✅ First, learn Full Stack (FISTAG) – it’ll make you strong in core development ✅ Once you’re confident in that, add ML into your projects ✅ Start exploring Data Science & ML integration step-by-step This way, you’ll become a real-world developer who can also apply ML — not just theory. 💬 Comment “projects” – I’ll share a lis

Abdul Mubeen on Instagram: "👉 But to master ML, you need strong fundamentals in Python, development, logic, and strategy — and that takes time. So here’s my real advice 👇 ✅ First, learn Full Stack (FISTAG) – it’ll make you strong in core development ✅ Once you’re confident in that, add ML into your projects ✅ Start exploring Data Science & ML integration step-by-step This way, you’ll become a real-world developer who can also apply ML — not just theory. 💬 Comment “projects” – I’ll share a lis

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Huzi_asCoder on Instagram: "Step 1: Learn the Basics of Python Before diving into libraries and ML, make sure you understand the fundamentals of Python: Variables, data types, loops, conditional if Functions and modules Lists, dictionaries, sets, and tuples File I/O Basic OOP (Object-Oriented Programming) 📺 Recommended YouTube Channels for Python Basics: Codewithharry Apnacollege Bro code Step 2: Master NumPy and Pandasbb These are must-know libraries for data analysis and machine learning: 🔢

Huzi_asCoder on Instagram: "Step 1: Learn the Basics of Python Before diving into libraries and ML, make sure you understand the fundamentals of Python: Variables, data types, loops, conditional if Functions and modules Lists, dictionaries, sets, and tuples File I/O Basic OOP (Object-Oriented Programming) 📺 Recommended YouTube Channels for Python Basics: Codewithharry Apnacollege Bro code Step 2: Master NumPy and Pandasbb These are must-know libraries for data analysis and machine learning: 🔢

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Ritika Singh on Instagram: "Week 1: Python Refresher & ML Basics Concepts ✅ 1. Python fundamentals (if rusty): data structures, functions, OOP basics. NumPy for numerical operations. Pandas for data manipulation. Matplotlib/Seaborn for data visualization. 2. Introduction to Machine Learning: Supervised s. Unsupervised Learning, Regression, Classification. Bias-Variance Tradeoff, Overfitting, Underfitting. Resources: ✨Python: “Python Full Course for Beginners” by Mosh (YouTube), official Python d

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Aasif Manzoor | Data Science, AI & Career Growth on Instagram: "FREE Certification Courses🎓 Boost your skills with 100% FREE online learning that covers key concepts & overviews in today’s most in-demand tech areas. 📚 What you’ll learn: • Data Processing & Visualization • Exploratory Data Analysis (EDA) • SQL Fundamentals • Python Basics • Acquiring Data 💬 Comment “Course” and I’ll send you the link directly! 📝 Source: FutureSkills Prime official platform. Availability of free courses may ch

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Dimpii on Instagram: "Day 2 of 90: Data Science Roadmap Continues Today’s Focus: Python – Data Types & Operators 🧮⚙️ Diving deeper into Python fundamentals — understanding data types (int, float, string, list, dict, etc.) and mastering operators is key to writing efficient code. 📘 Covered: ✔️ Built-in data types ✔️ Arithmetic & logical operators ✔️ Type conversion ✔️ Practice with real-world examples 🚀 On the path to: Data Scientist | Data Analyst | ML Engineer | AI Developer | Data Engineer

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Edustation Academy on Instagram: "Join our 2-month foundation course designed for students stepping into B.Tech Computer Science. Learn programming, problem-solving, and essential CS skills—no experience needed! ChatGPT Log in You said: Starting classes for coding and computer languages for two months for the students who have just passed 12th and wants to study btech cs after wards ChatGPT said: That sounds like a great initiative! Here's a basic plan for your 2-month coding and computer langua

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