DataSet Preprocessing.

• 

  Flight Fare Raw Dataset

• 

  Flight Fare Preprocessed Dataset

Inspiration

Being A Machine Learning and Data Science Learner I often used to see big and messy Datasets. So it was nice to get some practice on preprocessing the Datasets, as I believe this the most important step of Data Science.

What it does

Preprocesses the Dataset in clean form so that Machine Learning Algorithms can be applied on it in future.

How we built it

Using Preprocessing Methods from Pandas and Visualization Libraries like Matplotlib and seaborn

Challenges we ran into

This Dataset was quite challenging for me, it involved lots of categorical features , so it was quite a challenge to convert them in trainable from.

Accomplishments that we're proud of

Finally I cleaned the dataset in trainable form and I reduced all the string and categorical features in trainable from.

What we learned

Learned about many new techniques of Dataset Preprocessing.

What's next for DataSet Preprocessing.

In Future many machine learning algorithms can be applied on it to predict future Flight Fare.

Built With

• numpy
• pandas
• python
• seaborn