Please Help with My First Python Attempt

[saigwe]

Google PlaystoreDESCRIPTION
Objective: Make a model to predict the app rating, with other information about the app provided.
Problem Statement:
Google Play Store team is about to launch a new feature wherein, certain apps that are promising, are boosted in visibility. The boost will manifest in multiple ways including higher priority in recommendations sections (“Similar apps”, “You might also like”, “New and updated games”). These will also get a boost in search results visibility. This feature will help bring more attention to newer apps that have the potential.
Domain: General
Analysis to be done: The problem is to identify the apps that are going to be good for Google to promote. App ratings, which are provided by the customers, is always a great indicator of the goodness of the app. The problem reduces to: predict which apps will have high ratings.
Content: Dataset: Google Play Store data (“googleplaystore.csv”)
Fields in the data –
• App: Application name
• Category: Category to which the app belongs
• Rating: Overall user rating of the app
• Reviews: Number of user reviews for the app
• Size: Size of the app
• Installs: Number of user downloads/installs for the app
• Type: Paid or Free
• Price: Price of the app
• Content Rating: Age group the app is targeted at - Children / Mature 21+ / Adult
• Genres: An app can belong to multiple genres (apart from its main category). For example, a musical family game will belong to Music, Game, Family genres.
• Last Updated: Date when the app was last updated on Play Store
• Current Ver: Current version of the app available on Play Store
• Android Ver: Minimum required Android version

[Yoriz]

What is it you need help with? do you have some code that's not working correctly?
please see the following links

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[Safa999]

if you find the solution for your question, please send it to me, i need it
thank you so much