Let’s begin with the step’s used by the data scientist to perform his task or implement a module.

Below are the 7 major and minimal step’s to work while developing a machine learning model.

step 1. Data Gathering.

step 2. Data Analysis.

step 3. Data Cleaning.

step 4. Data Visualization.

step 5. Modelling with different statistical approach , predictable approach to solve the problem.

step 6. Select the model with highest accuracy.

step 7. Deploy your first machine learning application.

Tool and Skills you must know, that will help you to design your first machine learning application for beginner.

I will explain every step’s in different single post’s with great details ,where you will learn what programming you should know , the module required to implement the machine learning application and the book’s to refer for beginner as best of my knowledge.
Stay tuned for further updates !!!!

Thanks.