Open abhisheks008 opened 2 years ago
@abhisheks008 in this project do we have to do analysis with only train.csv or anything else?
You need to use deep learning methods to create a model which will determine whether a particular area is a part of Great Barrier Reef or, not.
Aditi Kala Github:- https://github.com/why-aditi Participation ID:- NA Approach: Exploratory Data Analysis (EDA) to understand the dataset's structure, identify any anomalies, and visualize key variables such as water quality parameters and species diversity. Following EDA, data preprocessing will be essential to handle missing values, encode categorical variables, and scale numerical features as needed. Next, the project will implement and compare the performance of some machine learning algorithms. Model evaluation will focus on metrics like accuracy to determine the best-performing algorithm. Optionally, fine-tuning via hyperparameter optimization can further enhance model performance. Participation Role:- SSOC Season 3
Aditi Kala Github:- https://github.com/why-aditi Participation ID:- NA Approach: Exploratory Data Analysis (EDA) to understand the dataset's structure, identify any anomalies, and visualize key variables such as water quality parameters and species diversity. Following EDA, data preprocessing will be essential to handle missing values, encode categorical variables, and scale numerical features as needed. Next, the project will implement and compare the performance of some machine learning algorithms. Model evaluation will focus on metrics like accuracy to determine the best-performing algorithm. Optionally, fine-tuning via hyperparameter optimization can further enhance model performance. Participation Role:- SSOC Season 3
One issue at a time.
Can u assign me to this
Can u assign me to this
Share your approach please.
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : GreatBarrierReef Analysis :red_circle: Aim : Analyze the data from the Great Barrier reef. :red_circle: Dataset : https://www.kaggle.com/andradaolteanu/2021-greatbarrierreef-prep-data :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.
📍 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 🚀
All the best. Enjoy your open source journey ahead. 😎