The goal here is to train a model that can classify whether a given data i.e {image , json_meta} is an image of pavbhaji or not
The goal is to do data processing and data analysis.
The data dir consists of data scraped from instagram for post that have #pavbhaji in their description or comment.
dataset.zip | dataset |--- images |--- 0 (pavbhaji images) |--- 1 (non-pavbhaji images) |--- pavbhaji.json (post meta data)
Where json file consist of entries for post and its metadata.
- Analyse and generate a report for the given data and your insights for the same.
- List down features and their relevance for training a classification model.
- Get data ready for training pre-processing
Send the fallowing deliverables to [email protected]:
- Source Code (.py or .ipynb)
- Data analysis report.
- What are the challenges you faced while working on the data?
- How did you overcome those and what approach you try to solve the problem?
We will evaluate you based on
- Your Coding skill as well as familiarity with ML libraries
- Your understanding of data and extracted features.
- Time Taken to Solve the Problem