I have been going through many open sourced kernels, all of them were using only the wifi data. Did someone extract the whole data into csv files? Any specific reason why only wifi data is used?
\nThanks in advance!!
I have been going through many open sourced kernels, all of them were using only the wifi data. Did someone extract the whole data into csv files? Any specific reason why only wifi data is used?
\nThanks in advance!!
People are using wifi features in their base model because it is a common and effective approach. It is true that using all the data could make your results more effective, so people are often using the rest of the data to fine tune their results in post processing.
\nHere is a discussion post I made a while ago that talks about the same concept: https://www.kaggle.com/c/indoor-location-navigation/discussion/222713
\nI hope this helps.
Thank you so much! I'll check that post!
", "rawMarkdown": "Thank you so much! I'll check that post!", "votes": 1 } ] }, { "id": 1244515, "postDate": "2021-03-19T03:16:00.820Z", "content": "Using WIFI-rssi for location estimation is a popular and effective approach to indoor navigation. Also, It is quite straightforward to try out with the data we are given, compared to other approaches.
", "rawMarkdown": "Using WIFI-rssi for location estimation is a popular and effective approach to indoor navigation. Also, It is quite straightforward to try out with the data we are given, compared to other approaches. ", "replies": [ { "id": 1245351, "postDate": "2021-03-19T17:49:10.130Z", "content": "True, but was just thinking whether using all the data will do any good!
", "rawMarkdown": "True, but was just thinking whether using all the data will do any good!" } ] }, { "id": 1244112, "postDate": "2021-03-18T17:43:22.350Z", "rawMarkdown": "", "votes": 2, "isDeleted": true } ], "comments": [ { "id": 1245326, "author_name": "Ravi Shah", "author_url": "", "post_date": "2021-03-19T17:21:29.490000", "content": "People are using wifi features in their base model because it is a common and effective approach. It is true that using all the data could make your results more effective, so people are often using the rest of the data to fine tune their results in post processing.
\nHere is a discussion post I made a while ago that talks about the same concept: https://www.kaggle.com/c/indoor-location-navigation/discussion/222713
\nI hope this helps.
Thank you so much! I'll check that post!
", "votes": 1, "replies": [] } ] }, { "id": 1244515, "author_name": "Samrat Thapa", "author_url": "", "post_date": "2021-03-19T03:16:00.820000", "content": "Using WIFI-rssi for location estimation is a popular and effective approach to indoor navigation. Also, It is quite straightforward to try out with the data we are given, compared to other approaches.
", "votes": 0, "replies": [ { "id": 1245351, "author_name": "manoj akondi", "author_url": "", "post_date": "2021-03-19T17:49:10.130000", "content": "True, but was just thinking whether using all the data will do any good!
", "votes": 0, "replies": [] } ] }, { "id": 1244112, "author_name": "", "author_url": "", "post_date": "2021-03-18T17:43:22.350000", "content": "", "votes": 2, "replies": [] } ], "raw_markdown_by_id": { "1243508": "I have been going through many open sourced kernels, all of them were using only the wifi data. Did someone extract the whole data into csv files? Any specific reason why only wifi data is used?\nThanks in advance!!", "1245326": "People are using wifi features in their base model because it is a common and effective approach. It is true that using all the data could make your results more effective, so people are often using the rest of the data to fine tune their results in post processing. \nHere is a discussion post I made a while ago that talks about the same concept: [https://www.kaggle.com/c/indoor-location-navigation/discussion/222713](url) \nI hope this helps.", "1244515": "Using WIFI-rssi for location estimation is a popular and effective approach to indoor navigation. Also, It is quite straightforward to try out with the data we are given, compared to other approaches. ", "1244112": "" } }