Closed abhisheks008 closed 10 months ago
@abhisheks008 Dataset link is not working.
@Nirvik07 Dataset updated!
Full name : Chandini Chentamara GitHub Profile Link : https://github.com/chandinic10 Participant ID : Approach for this Project : Firstly preprocess the data and then perform Exploratory data analysis to perform initial investigation on the provided dataset. The next step would be training the model based on the given dataset, where the model training would be done on the basis of the winning lottery numbers and thus the next lottery winner will be predicted. What is your participant role? Contributor
Sorry for the late reply @chandinic10. Will you still wanna work on this issue?
I would like to work on this project. may I work on it???
Full name : Neeraj Patel GitHub Profile Link : https://github.com/neerazzpatel Participant ID : NA Approach for this Project : I will try to do it using different algorithms and see which one works best and predicts best. What is your participant role? : KWOC
Issue assigned to you @neerazzpatel
Unassigned. ML-Crate is going to be part of DWOC from Jan, 15, all the unfinished issues will be taken by the contributors of DWOC.
Full name : Pawas Pandey GitHub Profile Link : [https://github.com/pawaspy] Participant ID : NA Approach for this Project : Firstly preprocess the data and then perform Exploratory data analysis to perform initial investigation on the provided dataset. The next step would be training the model based on the given dataset, where the model training would be done on the basis of the winning lottery numbers and thus the next lottery winner will be predicted. What is your participant role? Contributor
Issue assigned to you @pawaspy
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Lottery Prediction :red_circle: Aim : Create a prediction model, which will predict the lottery using ML. :red_circle: Dataset : https://www.kaggle.com/datasets/muhammadzain010/lottery-ticket-prediction-based-on-history :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.
Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program and JWOC '22 Open Source Program.
π Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π