📖How Accurate Are Your ML Predictions? Improve with Standardization & Log Transform | Tutorial🧾 скачать в хорошем качестве

📖How Accurate Are Your ML Predictions? Improve with Standardization & Log Transform | Tutorial🧾

🎯 How correct are your machine learning predictions? In this complete step-by-step tutorial, I demonstrate how to dramatically improve prediction accuracy using data standardization and log transformation of the target variable. Besides quick check of regression results, we delve deeply into Prediction for each country and show individual country errors in prediction. We follow that will with validation of the predictive model using mean absolute error percentage as well as root mean percentage squared error. 📊 What You'll Learn: • Predicting GDP across 106 diverse world economies • Why and how to standardize predictor variables • Log transformation to reduce prediction errors • Model validation with MAPE and RMSPE metrics • Comparing regular vs log-transformed models • Real-world interpretation of results 🔬 Key Insight: Log transformation dramatically reduces prediction errors—confirmed through rigorous validation metrics. This aligns with findings from Nobel-recognized economists on the relationship between social factors (happiness, inequality) and economic outcomes. 💻 Tools Used: Python, Pandas, NumPy, Scikit-learn, Stats models, Seaborn, Matplotlib ⏱️ Full 60+ minute tutorial with detailed explanations at every step. #MachineLearning #Python #DataScience #Prediction #sklearn #Tutorial #LogTransformation #Standardization #ModelValidation #MAPE #RMPSE Full code available at: https://github.com/webdev408/World-ec... Please comment, like and subscribe. I read all the comments and response as appropriate!!