echo "# ineuron-intern-Project" >> README.md
git init
git add README.md
git commit -m "first commit"
git branch -M main
git remote add origin https://github.com/bhushanasati25/ineuron-intern-Project.git
git push -u origin main-
Traveling 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, and duration of flights various occasions such as vacations or festive seasons. Therefore, having some basic idea of the flight fares before planning the trip will surely help many people save money and time.
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The main goal is to predict the fares of the flights based on different factors available in the provided dataset.
- The classical machine learning tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building, and Model Testing. Try out different machine learning algorithms that’s best fit for the above case.
https://www.kaggle.com/nikhilmittal/flight-fare-prediction-mh- Importing the Liberary
- Reading Dataset
- Data Preprocessing
- Exploratory Data Analysis(EDA)
- Handling Categorical as well as Numarical Data
- Performing Feature Selection
- Model Training
- Making pkl file
- Testing
- Production
- Deployment
Install the virtualenv package
pip install virtualenvCreate the virtual environment
virtualenv env_nameActivate the virtual environment0
source env_name/bin/activate
python3 -m flask run
