Python + Jupyter Notebook
18 USD 1 .Cleaning the data set from non-existing films.2ndAnalysis of the data set according to these criteria:
Construction of the distribution of genres by rating, profitability, likes;
B. Find the top 20 links (if there are) actor-register that give more money in lease;
(c) To indicate which films from which country have the best average rating.Analyze the answer and argue the verdict;
What story in average contain the films of the drama genre (plot_keywords).Do these films have a common story course?
Does the age rating affect the budget of the film?
ThreeBuilding a regression model that would assess (predict), what will be the success (financial) of the new film X, which will be filmed by the director with the maximum average rating of his films with the participation of the main actor, gathering the maximum likes in social networks, provided that the genre of the new film will be science fiction (sci-fi).Does the result affect the fact that the director in this genre has not previously filmed (or filmed).Argumentation of the selected model and steps of implementation.You can use any Python library.It is a Jupyter Notebook.
Client's review of cooperation with Viktoriia M.
Python + Jupyter NotebookQuick, quality and understandable.
Freelancer's review of cooperation with Eduard Vakovich
Python + Jupyter NotebookSome difficulties in understanding and interpretation of the text of the task.
Later is normal.
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Эдуард, здравствуйте!
То есть датасет у Вас уже на руках, верно?Оплату, так полагаю, предлагаете почасовую?
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Дата сет на руках. Оплата за весь проект.
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