@datascibykashi: 🧹 Machine Learning starts with Data Cleaning Before models, before accuracy, before AI hype. If you skip data cleaning: ❌ Your ML model learns noise ❌ Accuracy looks fake ❌ Features become misleading ❌ Real-world performance fails 🧠 In real machine learning jobs, most time is spent on: • Handling missing values • Removing outliers • Fixing inconsistent data • Encoding categorical features 📊 Clean data = better ML models = real data science jobs 💬 Comment to boost engagement: What takes you the most time in data cleaning? A) Missing values B) Outliers C) Categorical encoding D) Duplicate data 👇 Comment A, B, C, or D. I reply to every comment. #creatorsearchinsights #machinelearning #datascience #datacleaning #dataanalyst

Data Scientist | Kashi

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Saturday 31 January 2026 04:50:05 GMT