In this article, we will predict customer churn or attrition with an artificial neural network in google colab. The aim is not to get good accuracy with the model, the importance is to get a good model with different techniques and algorithms. Churn analysis is a classification problem because the label column has binary values only. Customers are very important for every company and institution and attrition of customers is a part of the analysis. The input features are Surname, CreditScore, Geography,…….., IsActiveMember, EstimatedSalary.

In today's world, almost everyone is using a mobile phone and all of them will receive messages(SMS/ email) daily on their phone. But the main thing is that many of the received messages will be spam and only a few of them are ham or required messages. In this article, we are going to create an SMS spam detection model which will help you to find whether an SMS is spam or not using LSTM. About Dataset: Here we are using SMS Spam Detection Dataset which contains SMS text and its corresponding label( Spam or Ham). As you can see our data contains some columns which are not useful to us.

Every Machine Learning enthusiast has a dream of building/working on a cool project, isn't it? Mere understandings of the theory aren't enough, you need to work on projects, try to deploy them, and learn from them. Moreover, working on specific domains like NLP gives you wide opportunities and problem statements to explore. Through this article, I wish to introduce you to an amazing project, the Language Detection model using Natural Language Processing. This will take you through a real-world example of ML(application to say).

Data Processing in the machine learning is a data mining technique. In this process, the raw data gathered and you analyze the data to find a way to transform it into useful data. Lets I am explaining to you through an example. When you search for the products in the e-commerce sites, You are basically generating the data. These data are transformed into the understandable format to get the recommended products for you.