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🔥 🔥 In this video, we dive into the essential steps of data preprocessing, covering feature encoding, detecting outliers, and handling categorical data. Watch as we demonstrate: ✅ How to identify and visualize outliers using boxplots. ✅ Ordinal encoding to transform categorical data into numeric format for machine learning models. ✅ Key insights and practical tips for preparing your dataset effectively. Whether you're a data enthusiast or a budding data analyst, this tutorial will help you streamline your preprocessing workflow and get your data analysis-ready! 💡 Don't forget to like, share, and subscribe for more content on data science, Excel, Python, and more. Let's unlock the power of data together! 🚀 #DataPreprocessing #FeatureEncoding #DataScience #Outliers #PythonTutorials #MachineLearningthis video, we dive into the essential steps of data preprocessing, covering feature encoding, detecting outliers, and handling categorical data. Watch as we demonstrate: ✅ How to identify and visualize outliers using boxplots. ✅ Ordinal encoding to transform categorical data into numeric format for machine learning models. ✅ Key insights and practical tips for preparing your dataset effectively. Whether you're a data enthusiast or a budding data analyst, this tutorial will help you streamline your preprocessing workflow and get your data analysis-ready! 💡 Don't forget to like, share, and subscribe for more content on data science, Excel, Python, and more. Let's unlock the power of data together! 🚀 #DataPreprocessing #FeatureEncoding #DataScience #Outliers #PythonTutorials #MachineLearning