Скачать или смотреть Machine learning Series Part - 2 🔥

Machine Learning Series – Part 2

Python Basics for Machine Learning 🐍🤖

Machine Learning seekhne se pehle ek harsh truth samajh lo:
Weak Python = No ML Career.
Is video me hum exactly wahi Python topics cover kar rahe hain jo ML ke liye actually required hote hain — extra bakwas nahi.



🔹 What you’ll learn in Part 2:

1️⃣ Python Fundamentals • Syntax & indentation (Python ka backbone)
• Data types: int, float, str, bool
• Input / Output & string formatting
• Basic math & logical operators

2️⃣ Data Structures • Lists, Tuples, Sets, Dictionaries
• List comprehensions (clean & fast data handling)
• Loops: for, while

3️⃣ Functions & Scope • def, return, parameters
• *args, **kwargs (flexible ML code ke liye)
• Local vs Global variables

4️⃣ File Handling • .txt & .csv files read/write
• Real ML ka base: data ko file se handle karna

5️⃣ Error Handling • try, except, finally
• Real-world programs me crashes ka solution

6️⃣ Working with Libraries • numpy, pandas, matplotlib
• pip install se libraries manage karna

7️⃣ Jupyter Notebooks • ML workflows ke liye industry standard
• Step-by-step execution + visualization

8️⃣ Mini Projects • BMI Calculator
• Student Grade System
• CSV Data Summary Tool


🚀 What’s Next?

Iske baad hum NumPy, Pandas aur Scikit-Learn me ghusenge —
jahaan actual Machine Learning start hoti hai.


📌 Important

Ye series un logon ke liye hai jo: • ML ko seriously career banana chahte hain
• College syllabus se aage nikalna chahte hain
• Sirf “course complete” nahi, skill build karna chahte hain

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