Here, we observed that the active customers are more in a salaried, self-employed, and others as compared to the entrepreneur in last 3 months.#Changing Yes to 1 and No to 0 in Is_Active column to covert data into floatĭf.replace(,inplace=True)ĭf = df.astype(float) df.head() So, we have to convert these values into float datatype. Here, we found that the Is_Active feature has two values i.e.Some categorical features need to be changed in numerical datatype.Moving forward, we have to check the data types of the features. Observation: We remove all the null values present in our dataset. Now we use the fillna method for filling null values in our dataset. Observation: Null values are present in the Credit_Product feature. Observation: In our dataset, we have 351037 rows with 12 features after concatenating the train and test file. df_train=pd.read_csv("train_s3TEQDk.csv")ĭf=pd.concat(,ignore_index=True) df.head()Īfter loading the dataset the very next step is checking information about the dataset and cleaning the dataset which includes checking the shape, datatypes, unique values, null values. You can get the dataset from the above-given link. Importing necessary libraries such as NumPy for linear algebra, pandas for data processing, seaborn, and matplotlib for data visualizations. Here, we have the task of building a model that’s capable of identifying customers who are interested in a credit card. Details of his/her relationship with the bank (Channel_Code, Vintage, Avg_Asset_Value, etc.).Customer details (gender, age, region, etc.).Bank wants to identify customers that could show higher intent towards a recommended credit card, given:.
The bank has identified a set of customers that are eligible for taking these credit cards. In this case, Happy Customer Bank wants to cross-sell its credit cards to its existing customers.The bank also cross-sells products to its existing customers and to do so they use different kinds of communication like tele-calling, e-mails, recommendations on net banking, mobile banking, etc.There is a Bank named Happy customer Bank which is a mid-sized private bank that deals in all kinds of banking products, like Savings accounts, Current accounts, investment products, credit products, among other offerings.You can use any choice of notebooks like Jupyter, Google Colab, Kaggle, etc.
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