User yoav_aaa

5 votes

Data scientist interview question: Linear regression low $R^2$ and what would you do

answered May 3, 2017 at 10:17

4 votes

Accepted

A visual explanation regarding a generalised Pearson's correlation for two variables

answered Aug 5, 2018 at 9:21

4 votes

Accepted

Is regression possible for unstructured text?

answered Jul 27, 2017 at 10:52

3 votes

PCA explained variance low

answered Aug 14, 2016 at 9:39

2 votes

Estimate size of each group with uncertainties from a KDE plot

answered Nov 24, 2019 at 8:05

2 votes

Accepted

Does poor clustering results entail poor classification results?

answered Jan 19, 2020 at 10:09

2 votes

Why do actuaries roll high values of some variables like seats (categorical variable) into a lower value?

answered May 15, 2017 at 10:14

2 votes

data set 'bootstrapping'. Is there a name for this?

answered Dec 4, 2018 at 9:09

1 vote

Accepted

Using log-log graph to find equation of power law relationship?

answered Feb 14, 2019 at 11:38

1 vote

Uncertainty in measurement error

answered Apr 23, 2019 at 13:43

1 vote

what's the use of lag? when using it do I have to lag my dependent variable or is it only the independent variable?

answered May 1, 2019 at 10:53

1 vote

Accepted

T-test : Average Time Spent on Website

answered Feb 1, 2018 at 11:28

1 vote

DQN - agent doesn't improve policy

answered Nov 18, 2019 at 15:23

1 vote

Accepted

How to calculate tf-idf for a single term

answered Aug 19, 2019 at 11:00

1 vote

Accepted

Estimating the error in the standard deviation

answered Aug 14, 2016 at 11:20

1 vote

Why and when would one begin with PCA on $X$ when predicting $y$?

answered Oct 19, 2016 at 12:29

1 vote

How to apply feature engineering for classification efficiently using polynomials

answered Jul 13, 2016 at 12:13

1 vote

How to build feature vectors from profile data

answered Aug 2, 2016 at 13:03

1 vote

Accepted

Detecting outliers in contextual time-series data

answered Oct 9, 2017 at 12:53

1 vote

Expected value of linear regression coefficient over different probability distributions

answered Oct 30, 2017 at 12:10

1 vote

Accepted

Clustering of time series and their transformations

answered Dec 14, 2017 at 16:16

1 vote

Dimensionality reduction of events data

answered Dec 24, 2017 at 14:00

1 vote

How to determine a sample size

answered Jan 2, 2018 at 15:08

1 vote

What techniques can be used for predictive modeling which incorporate sector specific information

answered Jan 26, 2017 at 10:42

1 vote

Accepted

Machine Learning dealing with NaN values

answered Jan 28, 2017 at 10:32

0 votes

Highlighting top factors for a specific employee’s attrition probability based on logistic regression model

answered Apr 12, 2017 at 14:20

0 votes

Cross Validation with Preprocessing (Normalization, Discretization, Feature Selection)

answered Aug 10, 2016 at 10:40

0 votes

Binary classification with imbalanced classes

answered Jan 19, 2017 at 13:04

0 votes

Why we need to extract a lot of features from a dataset for classification

answered Aug 2, 2016 at 12:53

0 votes

How to set up a machine learning model with no data

answered Nov 5, 2019 at 18:34

Stack Exchange Network

38 Answers

Data scientist interview question: Linear regression low $R^2$ and what would you do

A visual explanation regarding a generalised Pearson's correlation for two variables

Is regression possible for unstructured text?

PCA explained variance low

Estimate size of each group with uncertainties from a KDE plot

Does poor clustering results entail poor classification results?

Why do actuaries roll high values of some variables like seats (categorical variable) into a lower value?

data set 'bootstrapping'. Is there a name for this?

Using log-log graph to find equation of power law relationship?

Uncertainty in measurement error

what's the use of lag? when using it do I have to lag my dependent variable or is it only the independent variable?

T-test : Average Time Spent on Website

DQN - agent doesn't improve policy

How to calculate tf-idf for a single term

Estimating the error in the standard deviation

Why and when would one begin with PCA on $X$ when predicting $y$?

How to apply feature engineering for classification efficiently using polynomials

How to build feature vectors from profile data

Detecting outliers in contextual time-series data

Expected value of linear regression coefficient over different probability distributions

Clustering of time series and their transformations

Dimensionality reduction of events data

How to determine a sample size

What techniques can be used for predictive modeling which incorporate sector specific information

Machine Learning dealing with NaN values

Highlighting top factors for a specific employee’s attrition probability based on logistic regression model

Cross Validation with Preprocessing (Normalization, Discretization, Feature Selection)

Binary classification with imbalanced classes

Why we need to extract a lot of features from a dataset for classification

How to set up a machine learning model with no data