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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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forest cover type prediction #1082

Open ShrishtiSingh26 opened 2 weeks ago

ShrishtiSingh26 commented 2 weeks ago

I will use machine learning models like regression to predict the forest cover

I would like to contribute to this project as gssoc-ext contributor . please assign this issue to me under gssoc-ext

github-actions[bot] commented 2 weeks ago

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...

ShrishtiSingh26 commented 2 weeks ago

I will use machine learning models like regression to predict the forest cover type and test for different models to get the highest accuracy possible for this

I would like to contribute to this project as gssoc-ext contributor . please assign this issue to me under gssoc-ext

alo7lika commented 1 week ago

Proposed Solution The proposed solution involves creating a robust machine-learning pipeline that includes data preprocessing, feature engineering, model training, and evaluation. Initially, the dataset will undergo preprocessing to handle missing values, normalize numerical features, and encode categorical variables. Next, exploratory data analysis (EDA) will be performed to visualize relationships between features and target classes, identifying significant predictors.

For the model, several algorithms will be evaluated, including Random Forest, Gradient Boosting, and Neural Networks, to determine which yields the best performance in terms of accuracy, precision, and recall. Hyperparameter tuning will be employed to optimize model performance. Finally, a thorough evaluation will be conducted using metrics such as the confusion matrix, ROC-AUC, and classification report to assess the model's effectiveness in predicting forest cover types accurately.

ADD LABELS GSSOC EXT 24 AND hacktoberfest ASSIGN ME THIS WORK.