Creating Hypothesis for solving machine learning problem

AI Discussions
1

How to create Hypothesis for solving the real world machine learning problem. Before collecting the data. I know Before data collection we need to list down what are the features should i need to collect for solving the particular type of machine learning problem(This is the Hypothesis creation).

How to create Hypothesis for solving the particular machine learning problem?

2

Hello @Rajendra_Ambati1 ,
Here are some steps on how to create a hypothesis for solving a real-world machine learning problem:

  1. Understand the problem. What is the goal of the machine learning model? What are the inputs and outputs of the model? What are the constraints on the model?
  2. Identify the features. What are the features that are relevant to the problem? What features can be easily measured or collected?
  3. Create a hypothesis. What is the relationship between the features and the output? For example, if the goal is to predict whether a customer will churn, a hypothesis might be that the customer is more likely to churn if they have been with the company for a shorter period of time, have a lower balance, or have made more complaints.
  4. Test the hypothesis. Collect data and use a machine learning algorithm to test the hypothesis.
  5. Refine the hypothesis. If the hypothesis is not supported by the data, refine the hypothesis and test it again.

It is important to note that hypothesis creation is an iterative process. You may need to go back and forth between steps 2-5 several times before you have a hypothesis that is supported by the data.

I hope my answer was able to answer your question. Please feel free to post a followup question if you would like further explanation.
Regards,
Can

3

Thank you for explaining with in simple way. :heart_eyes: