List the steps involved in ml project

Answer 1

Swetha
Some more information can be found at this link below go and have an read

https://towardsdatascience.com/workflow-of-a-machine-learning-project-ec1dba419b94

Answer 2

Swetha
Any ml project consist of sane type of work flow which is start like this way

▶Gathering data:- in this according to the project we gather all necessary information about the data and data type and day sets for those project

▶Preparing that data:- then we prepare that data where we load our data into a suitable place and prepare it for use in our machine learning training.

▶Choosing a model:- then we choose model according to architecture and requirement of the project

▶Training:- we will use our data to incrementally improve o,ur model’s ability to predict the outcome in accurate way

▶Evaluation:-This is where that dataset that we set aside earlier comes into play. Evaluation allows us to test our model against data that has never been used for training. 

▶Hyper parameter tuning:- in these we tuned the weak data set by selecting important information from that data to use in prediction

▶Prediction:-Prediction, or inference, is the step where we get to answer some questions.

Answer 3

This sort of question can also be done as a web search.