@datascibykashi: 🤖 Artificial Intelligence starts with Data Preprocessing Before any AI or Machine Learning algorithm works, data must be cleaned, prepared, and transformed. 📊 Project: Data Preprocessing on Titanic Dataset In this project, I worked on: 1️⃣ Handling missing values (Age, Cabin, Embarked) 2️⃣ Encoding categorical features (Sex, Embarked) 3️⃣ Feature scaling using StandardScaler 4️⃣ Feature selection for better AI model performance 5️⃣ Preparing clean data for ML algorithms 🧠 Algorithm Used After Preprocessing: ✔ Logistic Regression (Baseline AI model) This is how real AI & data science projects start in industry. 💬 Comment Booster (Very Important): Which step do you find hardest in data preprocessing? A) Missing values B) Encoding C) Feature scaling D) Feature selection 👇 Comment the letter. I’ll reply with tips. #creatorsearchinsights

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Thursday 01 January 2026 00:23:24 GMT