DSCKGEC / DSCKGEC/MovieRecommendationSystem
Preprocess the movies.csv
Open
Easy
good first issue
KSoC’22
- Dominant language
- Jupyter Notebook
- Stars
- 1
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
**Describe the solution you'd like**
Like data_movies dataframe is preprocessed, similarly the features are picked to be picked from movies_data dataframe.
**Features to be picked**
You need to pick these features from movies_data : 'title', 'tagline', 'genres', 'cast', 'director'.
Contributor guide
Research direction
Locate the notebook cell where the data_movies dataframe is preprocessed and compare it with the movies_data dataframe. Select title, tagline, genres, cast, and director from movies_data, then verify that the resulting dataframe contains those five features.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100