Closed abhisheks008 closed 8 months ago
Full name : SAI KIRAN B L S GitHub Profile Link : https://github.com/Bayyana-kiran Participant ID (If not, then put NA) : NA Approach for this Project : The project commences with rigorous data preprocessing, addressing missing values, outliers, and sorting the 'date' column chronologically. Exploratory Data Analysis (EDA) visualizes gold price trends, distribution, and variable relationships. Model implementation employs Linear Regression, Decision Trees, Random Forest, and Gradient Boosting, with evaluation metrics guiding model selection and hyperparameter tuning. The chosen algorithm is utilized to predict future gold prices, visually compared to actual prices for transparent insights. What is your participant role : IWOC2024
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Complete your previous issue first @Bayyana-kiran
Can u assign me @abhisheks008 ?
Issue assigned to you @Bayyana-kiran
Hey @abhisheks008 Created a PR kindly check!
Sorry for the Delay
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Gold Price Analysis and Prediction :red_circle: Aim : The aim of this project is to predict the future Gold price and also make an analysis of the dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/gvyshnya/gold-future-prices :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.
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