Answer Posted / Jaldhari Meena

The three stages of building a hypothesis or model in machine learning are: (1) Data Preparation - cleaning, preprocessing, and selecting relevant features. (2) Model Training - using an algorithm to learn patterns from the data and build a model that can make predictions on new data. (3) Model Evaluation - assessing the performance of the model using appropriate evaluation metrics and making necessary adjustments.

What are standardization and normalisation? Give one advantage of each over the other?

148

Tell us do you have research experience in machine learning?

224

Tell me what are the last machine learning papers you've read?

291

Do you have research experience in machine learning?

153