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2027

Clean Data

ML | Data Preprocessing in Python

Pickl AI

DECEMBER 3, 2024

With the explosion of data in recent years, it has become essential for data scientists and Machine Learning practitioners to understand and effectively apply preprocessing techniques. Raw data often contains inconsistencies, missing values, and irrelevant features that can adversely affect the performance of Machine Learning models.

Python

Python ML ML Exploratory Data Analysis

Netflix Data Analysis using Python

Mlearning.ai

APRIL 25, 2023

Let’s explore the dataset further by cleaning data and creating some visualizations. The value ‘TV-MA’ appears the most frequently, occurring 2027 times, followed by ‘TV-14’ with 1698 occurrences. The type column tells us if it is a TV show or a movie. df.isnull().sum() sum() #checking for null values. df['listed_in'].value_counts()

Data Analysis

Data Analysis Data Analysis Python Exploratory Data Analysis

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