Open gayatritaneja opened 1 year ago
@adithya-s-k could you please look into this and assign it if you think it's fine. I'll be happy to change/modify anything in the scope if required!
I am GSSOC 23 contributor assign this to me
@gayatritaneja I am thrilled to receive your project request! Your idea is truly fascinating and I am eager to see it come to life.
To ensure the project runs smoothly, please follow all guidelines provided. If you are working on an AI, ML, or DL project, we kindly ask that you create a folder for your project within the respective folders and submit your progress accordingly. Please do follow the project readme template To ensure that everyone has a fair chance to participate, we kindly request that you complete 75% of the work within the first week of receiving the issue, and the remaining 25% within the next 3 days(10 days in total). If for any reason, you fail to meet this deadline, we will assign the task to someone else who is equally enthusiastic about contributing to this project.
If you have any questions, feel free to contact me via email or Discord or reach out to our team of project mentors.
Thank you for your contribution and let's make this project a huge success!
@adithya-s-k The initial linear regression has been completed (I already emailed and DMed you on Discord about 3 days back for the feedback!). Since there's some time left, can I also add DNN/KNN to this and compare the MSE to see which one works best? Attaching the colab file here fore reference: https://colab.research.google.com/drive/1XaH5_SR49Kz_t3LBBc0iS5bkOjA00wZA?usp=sharing
Hello, my name is Ishanya. I wish to contribute to this project, I like the idea behind the project, could kindly assign me the project? Thank You
Project Request
Define You
Project Name
Solar Energy Output Prediction using ML
Description
The aim of the project is to predict solar energy output using ML using features related to location and weather conditions using simple linear regression.
Scope
Data exploration, feature engineering, training, and evaluation.
Timeline
Start date: 22nd May, 2023 Tentative end Date: 22nd June, 2023
Video Links or Support Links
Dataset: https://www.kaggle.com/datasets/saurabhshahane/northern-hemisphere-horizontal-photovoltaic