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mlproject

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A ML model natural language processing techniques to classify articles based on their content. The model analyzes text from the articles to predict the most relevant category, such as news, sports, or entertainment. The model's performance is validated through rigorous testing, and all relevant code and data sets are included.

  • Updated Dec 22, 2022
  • Jupyter Notebook

Our recommendation system utilizes a combination of collaborative and content-based filtering techniques, analyzing your movie preferences and comparing them with other users to suggest movies you might enjoy. We also consider factors like genre, director, and actors to provide a diverse selection of recommendations.

  • Updated Oct 16, 2023
  • Jupyter Notebook

Travelling through flights has become an integral part of today’s lifestyle as more and more people are opting for faster travelling options. The flight ticket prices increase or decrease every now and then depending on various factors like timing of the flights, destination, duration of flights, number of stops, etc. Therefore, having some basi…

  • Updated Dec 2, 2021
  • Jupyter Notebook

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