For linear regression, what are some of the assumptions a data scientist is most likely to make?
No Answer is Posted For this Question
Be the First to Post Answer
How would churn help predict and control churn for a customer?
Can you cite some examples where both false positive and false negatives are equally important?
What is the goal of the clustering?
How do data scientists code in r?
What is meant by Poisson regression?
Could you explain how to define the number of clusters in a clustering algorithm?
Which package is used to do data import in r and python? How do you do data import in sas?
Which language is best for text analytics? R or python?
Explain why data cleansing is essential and which method you use to maintain clean data?
Compare sas, r, python, perl?
How will you check if an element 25 is present in a vector?
Explain data wrangling?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)