The team at AirQo would like to hear from you! Share your thoughts and feedback on your participation in the AirQo African Air Quality Prediction Challenge here... See more

# 1) SOLUTION OVERVIEWDuring this interesting challenge, I tried many ideas. And as youy may expect, some worked and didn't work.### WHAT DIDN'T WORK* Dimension... See more

Special thanks to the hosts for providing such a fun challenge.We are grateful for the opportunity to participate and learn.here are the main ideas for our solu... See more

Congratulations to the winners.

Hello! I didn't perform very well in this competition, but I've learned a lot throughout the process. I want to continue learning, so if any of the top solution... See more

what are your C.V scores? my best C.V score is ~27.2I think there will be a huge shake up in this competion, what are your thoughts?

Hi! The competition is ending in a few days, and I hope everyone is having fun participating. I actually had fun in this competition, and the idea of predicting... See more

"Using any API to fetch the geographic coordinates of city centers in countries might violate the competition rules. If anyone is knowledgeable about this, I wo... See more

Lagos Nairobi Kampala Bujumbura

I think it is common to assume that the test dataset will be harder than the data our model is trained on. But what if it is the opposite?If we look at the citi... See more

Hi! I hope the competition is going well for all of you!I have a small problem: when performing cross-validation, I see that the score for one of my groups is c... See more

Hello fellow Zindians,I would like to know how you all are dealing with these two features. I have a feeling that it is not correct to treat them as numerical f... See more

How did you achieve an RMSE of 11? @machine_learning My team and I have been working on this data for a long time, but we can't reach 11. Could you share some i... See more

Hello Zindians,Here is an easy notebook to get to 13.8... range. You should all thank @yanteixeira for this 😂😂😂::GIST::/koleshjr/4cffce860478d11e859a357d1326... See more

Guys, I understand, that many of you already know this, but want to remind that kaggle has competition 'Predict CO2 Emissions in Rwanda" which use very similar... See more

hey guys, i have found one similar challenge on zindi like this one please check it if you want tohere is the link: https://zindi.africa/competitions/zindiweeke... See more

can someone help me with the misssing values, i mean there are alot of missing values do i have to drop them or fill them by mean or median or is there any othe... See more

Do I have to make a submission using only the CSV data provided for the contest? Also, Can I use the pre-trained model if it is a classifier that we took images... See more

In the starter notebook the model use light gradient Boosting model. is it the only one model to exploit or we can use other model ?

There is a link to my current approach to the problem, I am open to ideas and methods to further increase my public lb.https://colab.research.google.com/drive/1... See more

Does anyone know if something like population data would count as third party data as it is not contained in the train/test csv files and would need to be acces... See more

Hi everyone, I once participated in a competition and moved from having no idea what to do with the dataset to significantly improving my LB score , thanks a ge... See more

Any suggestion on how to handle missing data. There is a lot of missing data. Is there any other helpful starting point for the competition?

Hello,The public leaderboard represents 50% of total test dataset?

How to add more features to the data.