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Jun 14, 2023 · The data used in this case study is sourced from Kaggle, a popular platform for data science and machine learning enthusiasts. The dataset, titled “ Netflix Movies and TV Shows ,” is publicly available on Kaggle and provides valuable information about the movies and TV shows on the Netflix streaming platform.
Dec 9, 2023 · Objectives of the Data Analysis Project. Purpose: To analyze the distribution of different types of content (movies, TV shows) on Netflix. Details: This might include looking at the proportion of ...
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Jan 13, 2024 · In this data analysis project, I, Isaac Macharia, a self-taught data analyst, explored a Netflix dataset spanning 2012 to 2021 to unravel the fascinating world of movies and shows.
Jan 26, 2024 · 7. Dive Deeper. This visualization is already more insightful than the initial plot we created with the preliminary data from our friend. It’s evident that while newer movies are more prevalent ...
Feb 26, 2023 · Netflix movies and TV shows clustering is a data analysis and machine learning technique that Netflix uses to group its content into similar categories. This technique involves analyzing the various characteristics of each title, such as genre, cast, and plot, and using algorithms to identify patterns and similarities.
Sep 4, 2020 · Warning: Major spoilers ahead. If you haven’t seen “I’m Thinking of Ending Things,” we suggest reading this review or this story about the making of the film, then come back.. Kaufman’s ...
Mar 7, 2016 · It’s important to be mindful of this and be fair in your assessment of the film’s choices. One film cannot, for example, encapsulate a whole person’s life. Of course, though, a lot of makes a good film lies in its physical making. Whether it be in casting, sets or the understanding of the director.
