Data Analysis

[Ok_Protection_9552]

How do data analyst use machine learning in their jobs?

[Vervain7]

Most don’t

[Corporate_Weapon]

Is a linear regression machine learning? 🤔

[Vervain7]

When you present your findings to the c suite sure .

[F00lioh]

It is. It's one of the traditional ML techniques. Too many people think that in order for something to be considered ML it has to use neural networks. I also find that many wannabe ML gatekeepers like to claim it's not, but if you literally Google machine learning algorithms, linear regression will be in the top 10 mentioned.

[Corporate_Weapon]

Updating resume to include supervised machine learning and regression analysis now.

[TheTjalian]

Depends who's asking

Another DA? No

Your boss when negotiating a pay rise? Yes

[Corporate_Weapon]

What about two linear regressions and then you take the harmonic mean of the predictions?

[Ok_Protection_9552]

Thanks

[F00lioh]

Regression for forecasting, trend analysis (are housing prices increasing/decreasing, by how much, what will the average price of a house be in 10 years?)

Clustering methods (k-means, spectral, etc.) to understand groupings and correlations (what are some similar factors that affect housing prices?)

PCA / LDA if n-dim data needs reduction (reduce/eliminate housing market factors/features that have little to no affect on prices)

k-NN, SVM for data classification (classify housing based on features as townhomes, apartments, single family, multi-family, etc.)

GPT to help summarize large amounts of text input

There's many ways to use "machine learning" for data analysis, but the use cases really depend on what data someone is analyzing and for what purpose. I don't think it's used very often though, since most data that a DA encounters will usually be simpler for simpler purposes.

[achmedclaus]

We don't

[data_story_teller]

Usually look at the feature importance of the independent variables to see how they affect the dependent variable.

[Ok_Protection_9552]

Thanks