fady-kamal Goto Github PK
Name: Fady Kamal
Type: User
Name: Fady Kamal
Type: User
Codeforces Problem Solutions. Focused on Dynamic Programming, Data Structures, Number Theory, Graph Algorithms, Binary Search
Introduction In this tutorial, we are going to implement the Flight Fare Prediction. This model predicts the price of the flight based on some parameters like total stops, journey Day, journey month, Air India, Indigo, source, destination, etc. I have trained this model using the random forest regressor and after training, fine-tune the model which is also known as hyper parameter tuning. Then save a model and deploy this Flight Fare Prediction model using the Flask application on the localhost.
Get Flight Fare with this end to end Machine Learning Project
Scraping flight prices from Kayak.com
End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.
extensions for the LaTeX fancyvrb package, including a better \Verb, automatic line breaking, and improved math mode
It is my solution to the problems on the codeforces.com site. note this is not my coding style it is just for the fast writing in problem-solving contests
Jupyter notebook and datasets from the pandas Q&A video series
Repository for the course "Sensor Fusion and Nonlinear Filtering (SSY345)" at the Chalmers University of Technology
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