ML-Crate
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abhisheks008
Electricity Consumption Forecasting
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Electricity Consumption Forecasting :red_circle: Aim : This project will help us in forecasting the electricity consumption from the provided dataset. :red_circle: Dataset: https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
📍 Follow the Guidelines to Contribute in the Project :
- You need to create a separate folder named as the Project Title.
- Inside that folder, there will be four main components.
- Images - To store the required images.
- Dataset - To store the dataset or, information/source about the dataset.
- Model - To store the machine learning model you've created using the dataset.
requirements.txt- This file will contain the required packages/libraries to run the project in other machines.
- Inside the
Modelfolder, theREADME.mdfile must be filled up properly, with proper visualizations and conclusions.
:red_circle::yellow_circle: Points to Note :
- The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
- "Issue Title" and "PR Title should be the same. Include issue number along with it.
- Follow Contributing Guidelines & Code of Conduct before start Contributing.
- This issue is only for 'SWOC' and 'JWOC' contributors of 'ML-Crate' project.
:white_check_mark: To be Mentioned while taking the issue :
- Full name :
- GitHub Profile Link :
- Participant ID (If not, then put NA) :
- Approach for this Project :
- What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.)
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
Full name : Md Ilham Ansari GitHub Profile Link : https://github.com/ilhamansari Participant ID (If not, then put NA) : NA Approach for this Project : To analyse the household electricity consumption. What is your participant role? HRSoC 2022 Participant
Issue assigned to you @ilhamansari.
Have you filled up the Google form circulated in the #general channel of ML-Crate?
@abhisheks008 working on it. actually I am new to ML so its taking a bit of a time. Will submit the PR within tomorrow.
No worries, it's great to see that you are learning as well as implementing that skills in this project. Take your time.
@ilhamansari
Hello, This is Karan Shelke. I want to work on this issue if it is okay. Please assign to me. Thank You.
Are you contributing here as a part of any open source program or, just as a contributor, who wants to contribute in ML-Crate. @Karanshelke
That's really amazing. Follow the guidelines written in the issue itself and provide the details accordingly. @Karanshelke
Full name : Karan Shelke
GitHub Profile Link : https://github.com/Karanshelke
Participant ID (If not, then put NA) : NA
Approach for this Project : Analyzing how much electricity is consume
What is your participant role?
Try to use atleast 3-4 algorithms and check them according to their accuracy scores to find out the best fitted model for this particular dataset/project.
Best wishes! @Karanshelke issue assigned to you.
I have done with LSTM... now working on SVM
On Wed, 12 Oct 2022, 1:50 pm Abhishek Sharma, @.***> wrote:
Hey @Karanshelke https://github.com/Karanshelke updates regarding this issue.
— Reply to this email directly, view it on GitHub https://github.com/abhisheks008/ML-Crate/issues/333#issuecomment-1275775570, or unsubscribe https://github.com/notifications/unsubscribe-auth/AOUAUJ3G4C4WINUUC5IMVXTWCZYDDANCNFSM544ND6TQ . You are receiving this because you were mentioned.Message ID: @.***>
Sounds great. Once you finish your work, make the PR as soon as possible. @Karanshelke