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Amarta113 avatar Amarta113 commented on July 26, 2024

@Akshat111111 Assign me this issue I have done this

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itssiddhantjain avatar itssiddhantjain commented on July 26, 2024

Hello @Akshat111111 , please assign this issue to me as I have already worked on this kind of problem in past.

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Akshat111111 avatar Akshat111111 commented on July 26, 2024

Tell me your approach ??Dont forget to analyze the netflix stock too.

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itssiddhantjain avatar itssiddhantjain commented on July 26, 2024

@Akshat111111 I am planning to do it as I have done in a recommendation system in which I have used multiple recommender systems to analyze which will provide me the trending movies.

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aryanchauh avatar aryanchauh commented on July 26, 2024

Can you assign me this problem @Akshat111111 . I wanna fix this issue.

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Akshat111111 avatar Akshat111111 commented on July 26, 2024

Can you assign me this problem @Akshat111111 . I wanna fix this issue.

whats your approach ??

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aryanchauh avatar aryanchauh commented on July 26, 2024

Can you assign me this problem @Akshat111111 . I wanna fix this issue.

whats your approach ??

Data Collection
Data Cleaning and Preprocessing: Clean the data by handling missing values, duplicates, and inconsistencies.

Exploratory Data Analysis (EDA): Conduct EDA to understand the distribution of movie genres, ratings, release dates, etc
Sentiment Analysis:
Time Series Analysis: Explore time series data to identify seasonal trends, spikes in viewership, or shifts in popularity over time.
Machine Learning Models

Collaborative Filtering: Implement collaborative filtering techniques to recommend movies based on user

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