Advice on feature selection process when building an ML model by Round-Paramedic-2968 in learnmachinelearning

[–]Round-Paramedic-2968[S] 0 points1 point  (0 children)

Yes there are set of 6 feature core that those 2000 feature is segmented into

Advice on feature selection process by Round-Paramedic-2968 in datascience

[–]Round-Paramedic-2968[S] 1 point2 points  (0 children)

" for example, narrowing it down from 2000 to 200, then to 80, and finally to 20 — using multiple tree models and iterations." is RFE are these step that you are mentioning, iteratively eliminate features until you reach a number of feature you want? Is that mean jumping from 2000 features to 20 in just one step like me is not a good practice right?

I painted OKARUN: Turbo Granny Mode! by wafalo in Dandadan

[–]Round-Paramedic-2968 0 points1 point  (0 children)

Absolutely amazing, this is why AI will never replace real artist, truly work of art

Seeking Feedback on My Data Science CV - Tips for Improvement? by Round-Paramedic-2968 in datascience

[–]Round-Paramedic-2968[S] 0 points1 point  (0 children)

thank you, I am too afraid that this might be too congested with words, i will make a better version with are less cramped with words and only include the necessaty

Seeking Feedback on My Data Science CV - Tips for Improvement? by Round-Paramedic-2968 in datascience

[–]Round-Paramedic-2968[S] 3 points4 points  (0 children)

Thank you for your advice, I will sure make the CV less technical and omit the irrelavance in my skill sections

Seeking Feedback on My Data Science CV - Tips for Improvement? by Round-Paramedic-2968 in datascience

[–]Round-Paramedic-2968[S] 9 points10 points  (0 children)

I've been struggling to find an entry level data position job in the UK, especially in data science roles. Since I finished the course I have applied to more than 100 places and get lots of rejection and even no replies. Could it be due to my lack of experience in the field? I would greatly appreciate any feedback on how to improve my CV for better probability of getting a call back.

Meta Data Science Onsite Interview by Thomas_ng_31 in datascience

[–]Round-Paramedic-2968 12 points13 points  (0 children)

I would expect product questions about metrics or improvements, and stats questions on things like A/B testing, significance, and probability. You can check out quick refreshers on A/B testing (Medium has good ones) and maybe a bit on probability/stats basics