Use Machine Learning to create your own home price prediction model with the data set below. Build a model to intelligently match our clients with the real estate agent that has the highest chance of completing a transaction. Please complete the questions in https://github.com/housesigma/hr-test-python
very typical technical interview questions.
Describe an ML project you worked on.
Bulit an ML model using given dataset in 45 mins.
What ML classes have you taken?
- What is a summary of your training experience and projects? - What learning management systems have you worked with? - Are you able to train in Restaurant before joining the restaurant support team? - Are you able to travel extensively?
diffwrence between l1 and l2 regularization, explain k-means
Biochemistry/protein structure related questions (e.g. structure prediction from sequence), downloading datasets. What would I do if I could not solve an ML problem?
Quelles sont tes rituels de veille en data science ?
Prepare a final presentation to showcase your facilitation skills.
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