How do we find (using Python) all the possible values of categories inside a Pandas data-frame column named ‘book’? The name of the Pandas data-frame is data_df.
data_df.book.unique()
data_df.book.category_name()
data_df['book'].distinct()
data_df['book'].unique()
Which of these are Python libraries specifically useful for Geospatial analysis:
Geopandas
QGIS
Folium
OpenStreetMap
Using cross-validation we find that the ideal K in a K -Nearest Neighbour procedure is 6. Your friend does not use cross-validation but instead guesses a K of 2. His predictor would:
have higher bias
have higher variance
have lower bias
have lower variance
overfit the data compared to your solution
underfit the data compared to your solution
Sign in with Google — it is free — to see every question with its answer and explanation, practise it in learning mode, or take it as a timed mock test.
The IIT Madras BS Tools in Data Science (Tools in Data Science (TDS)) End Term paper sat on 24 Dec 2023, in the September 2023 term, set ADD3: 20 questions for 20 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Tools in Data Science (TDS) End Term 24 Dec 2023 Set ADD3 at a glance |
|---|---|
| Term | September 2023 term |
| Subject | Tools in Data Science |
| Course code | BSSE2002 |
| Questions | 20 |
| Marks | 20 |
| Duration | 180 min |
| MSQ | 5 |
| MCQ | 15 |
| Official paper | IIT M DIPLOMA FN EXAM FDD1 24 Dec 2023 |
| Negative marking | No negative marking. |
| Updated |
