Row 5050
Content Data
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
| Field | Value |
|---|---|
| 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 |
| url_encoded | Z0FBQUFBQm5Lak9GVlZNWlpXZmI4NWFwVnJZbXFoNEwxYm9HMDdodWNrVzJBYjEwUEFxcWxUb2VqdXBSLUZlWlotMmJiVEFSRVpQdHpxcmt1WHlCNXZmRl93SWZqbkNiWWQwTUw2UTJfb1UwREZRQVNlMjRfSzI0cDB3d3BLQTZCSS1qTXc3MXVIVHV5VlQ3RE5wWV9GSk80WGlfckwxRVl2MWNXTm9nT0x6SFhIS2JQQmZVN0FvPQ== |
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",
"url_encoded": "Z0FBQUFBQm5Lak9GVlZNWlpXZmI4NWFwVnJZbXFoNEwxYm9HMDdodWNrVzJBYjEwUEFxcWxUb2VqdXBSLUZlWlotMmJiVEFSRVpQdHpxcmt1WHlCNXZmRl93SWZqbkNiWWQwTUw2UTJfb1UwREZRQVNlMjRfSzI0cDB3d3BLQTZCSS1qTXc3MXVIVHV5VlQ3RE5wWV9GSk80WGlfckwxRVl2MWNXTm9nT0x6SFhIS2JQQmZVN0FvPQ=="
}
Entry Information
- Entry ID: 5050
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000