🤖 Machine Learning — ML Basics

pip install machine

# Machine Learning — ML Basics — Basic Example
print("Machine Learning — ML Basics sikhna shuru karo!")
print("Python se sab kuch possible hai! 🐍")

# Chapter 29: Machine Learning — Advanced Practice
print("=== Machine Learning Practice ===")

# Example 1: Basic usage
result = "Python mein Machine Learning bahut powerful hai!"
print(result)

# Example 2: Real world use
data = ["Machine Learning", "Python", "Hindi", "PythonHindi.in"]
for item in data:
    print(f"Item: {item}")

print("\nPractice complete! Great job! 🎉")

# Chapter 29: Machine Learning  ML Basics — Advanced Examples
# Yeh code copy karo aur run karo!

# Example 1: Basic concept
print("=== Chapter 29: Machine Learning  ML Basics ===")

# Example 2: List operations
items = ["Python", "Hindi", "Code", "Practice"]
for i, item in enumerate(items, 1):
    print(f"{i}. {item}")

# Example 3: Dictionary usage
chapter_info = {
    "number": 29,
    "title":  "Machine Learning  ML Basics",
    "level":  "Advanced",
    "done":   False
}
for key, value in chapter_info.items():
    print(f"  {key:10}: {value}")

# Example 4: Function
def practice_summary(chapter, completed=False):
    status = "Complete ✅" if completed else "In Progress ⏳"
    return f"Chapter {chapter}: {status}"

print(practice_summary(29))
print(practice_summary(29, True))

# Step 1: Simple start
print("Python sikhna shuru karo!")

# Step 2: Variables use karo
language = "Python"
version  = 3.12
free     = True
print(f"{{language}} {{version}} — Free: {{free}}")

# Step 3: Loop se repeat karo
topics = ["Variables", "Loops", "Functions", "OOP"]
for topic in topics:
    print(f"  Learning: {{topic}}")

# Step 4: Function banao
def greet_learner(name, chapter):
    return f"Namaste {name}! Chapter {{chapter}} complete karo!"

print(greet_learner("Rahul", 22))

# Step 5: Dictionary se data store karo
progress = {{
    "completed": 22,
    "total":     30,
    "percent":   22/30*100
}}
print(f"Progress: {{progress['completed']}}/{{progress['total']}} ({{progress['percent']:.0f}}%)")