Hackathon

Hackathon Conducted by Technology for all

The Tasks were like this :

Step - 1: Download the csv file and read it in a Pandas Dataframe. Handle missing values and treat outliers. Don’t forget to visualise the data.

Dataset Link - data.csv

Step - 2: Train different Machine Learning models: Logistic Regression SVM with Linear Kernel SVM with RBF Kernel Decision Tree KNN

Step - 3: Perform proper hyperparameter tuning for each model from Step - 2

Step - 4: Compare all the models and write your observations i.e. why is one model better than the other?

Add this observation at the end of your jupyter notebook

Hint: Try to visualise the data

Step - 5: Upload your Jupyter Notebook on Github or Google Drive and submit the link in the form mentioned below.

Note:

I have used Logistic regression , KNN Classifer and Decision tree Classifier

Hyper parameter tuining is done on KNN Classifier and Decision Tree Classifier

SVC model not used.