What is Regression?Regression kya hai?

🧸 Think of it likeAise samjho

Like guessing the price of a second hand car from its age, brand and kilometres: the answer is a number.Purani gaadi ki keemat uski umar, brand aur kilometre se andaaza lagaane jaisa: jawaab ek number hai.

📘 ExplainedVistaar se

Regression models output continuous values. Start with linear regression as a baseline, then try gradient boosting or neural networks. Evaluate with errors in real units: MAE (average absolute error), RMSE (punishes big errors) or MAPE (percentage error).Regression models continuous values dete hain. Baseline ke roop mein linear regression se shuru karo, phir gradient boosting ya neural networks try karo. Asli units mein errors se evaluate karo: MAE (average absolute error), RMSE (bade errors ko zyaada saza) ya MAPE (percent error).

💡 Real exampleAsli example

Predicting a flat's price as ₹82 lakh when it sold for ₹80 lakh: an error of ₹2 lakh.Flat ki keemat ₹82 lakh predict karna jab woh ₹80 lakh mein bika: ₹2 lakh ka error.

📖 Learn it step by stepStep by step seekho

• Two kinds of prediction: regression and classificationDo tarah ki prediction: regression aur classification

🔗 Related termsJude hue shabd

• ClassificationPredicting a category, like spam or not spam, or which department a ticket belongs to.Ek category predict karna, jaise spam ya not spam, ya ticket kis department ka hai.
• Loss functionA formula that measures how wrong the model's predictions are; training tries to make it small.Formula jo naapta hai model ki predictions kitni galat hain; training ise chhota karne ki koshish karti hai.