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ML | Data Preprocessing in Python

Pickl AI

According to a report from Statista, the global big data market is expected to grow to over $103 billion by 2027, highlighting the increasing importance of data handling practices. During EDA, you can: Check for missing values. The post ML | Data Preprocessing in Python appeared first on Pickl.AI.

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Netflix Data Analysis using Python

Mlearning.ai

In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. The value ‘TV-MA’ appears the most frequently, occurring 2027 times, followed by ‘TV-14’ with 1698 occurrences. df = df.dropna() df.isnull().sum() sum() df['rating'].value_counts()