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ACM-VIT
Help us build a Credit Card Approval system - using Machine Learning!
Let's start on this project! To create your first PR: - Fork this repo - Create a file with your name (yourname.py) in the folder submissions (Create one if folder...
**Task** Define the feature variables which are to be predicted using this model **Function to implement** feature_creation()
**Task** Check to see if there are any missing values in both the datasets imported. If yes, then fill those missing values. **Functions to implement** missing_values_table(df) solution_missing_values(df)
Got your first PR merged? Awesome! Continuing the task we started in our last issue: **Task** Try importing the Credit Card data set using the pandas package
Congratulations! By now, you have successfully created a model and evaluated it, but is it the end? Of course not! Let's optimize our model :) **Task** - Tune model parameters...
**EDA and Vintage Analysis** Perform EDA for the data set to find best factors to be considered for the model. What is Vintage Analysis could be searched [here](https://www.listendata.com/2019/09/credit-risk-vintage-analysis.html). **Where to...
**Task** Compare the predicted and observed label classes to see the actual accuracy.
**Task** - Define the ml model that you will be using in this project. - Run the model on training data (Fitting) - Predict outcomes using fitted model
**Task** Provide code to split sample data provided into two sets, training data and testing data.
Completed and merged your last 5 tasks? Great! By now, you must have learnt a lot but the real 'Machine Learning' begins from here. From now on, you will be...