Row 5050

Row ID: 5050 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 5050 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hi! I do not know if this is the place to make this question so my apologies if it is not. I will have a technical interview tomorrow and it will cover classical ML algorithms like knn, Random Forest or Xgboost. I’m aware of the theory behind those algorithms as I have studied them very well. However, I’m a little bit worried about the data preprocessing. What can they ask me? Data balancing, categorical data treatment? Thank you in advance

FieldValue
text Hi! I do not know if this is the place to make this question so my apologies if it is not. I will have a technical interview tomorrow and it will cover classical ML algorithms like knn, Random Forest or Xgboost. I’m aware of the theory behind those algorithms as I have studied them very well. However, I’m a little bit worried about the data preprocessing. What can they ask me? Data balancing, categorical data treatment? Thank you in advance
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-04-25
username_encoded Z0FBQUFBQm5LakwycVdsOHlwOFlCUlBGRk41aWRVRXJmbGVhU0x4NXN4RzB6VU8taFNmSjN2TmFIRmdHeHlHSmhZVHpCU2FNUU9feU5XTXZoR3ltLU1OTGVHMlZ0R0dhRks3dG03T2VENlRaNlQwVWppVXlzalE9
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Raw Record

{
  "text": "Hi! I do not know if this is the place to make this question so my apologies if it is not. I will have a technical interview tomorrow and it will cover classical ML algorithms like knn, Random Forest or Xgboost. I’m aware of the theory behind those algorithms as I have studied them very well. However, I’m a little bit worried about the data preprocessing. What can they ask me? Data balancing, categorical data treatment? \nThank you in advance",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-04-25",
  "username_encoded": "Z0FBQUFBQm5LakwycVdsOHlwOFlCUlBGRk41aWRVRXJmbGVhU0x4NXN4RzB6VU8taFNmSjN2TmFIRmdHeHlHSmhZVHpCU2FNUU9feU5XTXZoR3ltLU1OTGVHMlZ0R0dhRks3dG03T2VENlRaNlQwVWppVXlzalE9",
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}

Entry Information