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What are the assumptions of time-series analysis?
1 answer 21 views
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What are the subcategories of quantitative forecasting methods?
1 answer 21 views
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A researcher has collected the following sample data
1 answer 43 views
A researcher has collected the following sample data The median is? Values 5 12 6 8 5 Frequency 6 7 5 12 4 &nbs ...
by MathsGee Platinum
(118,646 points)
answered in Data Science & Statistics May 9
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If the first sock drawn is black, what is the probability the second sock is also black and Billy has a pair?
1 answer 226 views
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There are 6 pillows in a bed, 3 are red, 2 are yellow and 1 is blue. What is the probability of picking a yellow pillow?

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What do you do when the assumption of homoscedasticity is violated?
1 answer 32 views
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What could cause violations in homoscedasticity?
1 answer 27 views
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Determine the measures of central tendency and dispersion for the given data display.

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Determine the probability as a percentage of randomly selecting a colours male from the total population

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When faced with prediction, what is the fundamental problem being solved for by data scientists?

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Give examples of data mining applications
1 answer 49 views
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What is data mining?
1 answer 111 views
What is data mining?What is data mining? ...
by MathsGee Platinum
(118,646 points)
answered in Data Science & Statistics Apr 25
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What are some startups focused on causal inference? Or larger companies using causal inference? #CausalTwitter
0 answers 42 views
What are some startups focused on causal inference? Or larger companies using causal inference? #CausalTwitter What are some startups focused on causal inference? Or larger companies using causal inference? #CausalTwitter source: https://twitter.com/C ...
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How is causal inference being applied in evidence-based precision medicine?
0 answers 55 views
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8, 12, 15, 14, 19, 21, 24, 28. Find the median
1 answer 87 views
8, 12, 15, 14, 19, 21, 24, 28. Find the medianTwelve encoders were given a typing test, and the times (in minutes) to complete the test were as follows: 8, 12, 15, 14, 19, 21, 24, 28. Find the med ...
by MathsGee Platinum
(118,646 points)
answered in Data Science & Statistics Apr 1
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How does machine learning work?
1 answer 77 views
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What are the formulae for population and sample variance?
1 answer 96 views
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What is the formula for the log-likelihood for the tobit model?
1 answer 55 views
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What is the Kullback-Leibler divergence splitting criteria?
1 answer 72 views
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What does the assumption of unconfoundedness in treatment effect state?
2 answers 196 views
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What is the difference between discriminative and generative models?
1 answer 67 views
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What are some of the benefits and applications of uplift modelling?
1 answer 85 views
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What are some of the indirect uplift modeling techniques (meta-learners)?
1 answer 63 views
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Are there any python packages specific to causal inference?
1 answer 81 views
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What is a Qini Graph?
1 answer 70 views
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What does the acronym RFM stand for in marketing data science?
1 answer 67 views
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Draw the analytics process model and briefly discuss the subsequent steps.
0 answers 72 views
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List and discuss the ideal characteristics and skills of a data scientist.
0 answers 75 views
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List and discuss the key characteristics of an analytical model.
0 answers 66 views
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Discuss the difference between a statistical perspective and a business perspective toward analytics.
0 answers 72 views
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Which statement is true?
0 answers 82 views
Which statement is true?Which statement is true? a. All analytical models are profit-driven when applied in a business setting. b. Only predictive analytics are profit-drive ...
by MathsGee Platinum
(118,646 points)
asked in Data Science & Statistics Mar 21
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Which is not a characteristic of a good data scientist? A good data scientist:
0 answers 73 views
Which is not a characteristic of a good data scientist? A good data scientist:Which is not a characteristic of a good data scientist? A good data scientist: a. Has a solid business understanding. b. Is creative. c. Has thorough ...
by MathsGee Platinum
(118,646 points)
asked in Data Science & Statistics Mar 21
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Which statement is true?
0 answers 64 views
Which statement is true?Which statement is true? a. Customer lifetime value estimation is an example of classification. b. Demand estimation is an example of classification. ...
by MathsGee Platinum
(118,646 points)
asked in Data Science & Statistics Mar 21
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Which is not a possible evaluation criterion for assessing an analytical model?
0 answers 80 views
Which is not a possible evaluation criterion for assessing an analytical model?Which is not a possible evaluation criterion for assessing an analytical model? a. Interpretability b. Economical cost c. Operational efficiency d. A ...
by MathsGee Platinum
(118,646 points)
asked in Data Science & Statistics Mar 21
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What is the difference between uplift modelling and traditional machine learning?
0 answers 98 views
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How do I calculate the uplift score?
0 answers 55 views
How do I calculate the uplift score?How do I calculate the uplift score? ...
by MathsGee Platinum
(118,646 points)
asked in Data Science & Statistics Mar 21
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What is a Qini Coefficient?
1 answer 60 views
What is a Qini Coefficient?What is a Qini Coefficient? ...
by MathsGee Platinum
(118,646 points)
answered in Data Science & Statistics Mar 21
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Which industries mainly use uplift modelling as a technique to determine impact?

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For regression problems which loss functions can i use?
1 answer 68 views
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What is the disjunctive cause criterion?
1 answer 91 views
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How does one distinguish the model purpose with respect to correlation and causation?

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Is it better to have too many false positives or too many false negatives?
1 answer 152 views
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How should I define leading indicators for tracking performance? 
1 answer 76 views
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Why should I define leading indicators to measure performance?
1 answer 98 views
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