Weafoodher
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Models
Askmegadgets
February 02, 2025
Models to be implemented:
XGBoost Regressor
LightGBM Regressor
CatBoost Regressor
Random Forest Regressor
Gradient Boosting Regressor
Bayesian Ridge Regression
Huber Regressor
Stacking Classifier
Voting Classifier
TabNet
AutoML Models
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About
Transforming Delivery Dynamics Through Intelligent Weather Insights
About Me
Askmegadgets
I am Rishekesan S.V the Founder and ceo of askmegadgets .This website was created to collect more info about technology and share my knowldege on tech.
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Popular Posts
Ensemble Methods
Ensemble methods Code and images and splits: Rishekesan3012/ML_WR Ensemble learning combines multiple machine learning models to improve ...
Decision Trees
Decision Tree Code : Rishekesan3012/ML_WR In our project, Decision Trees are used to predict whether a restaurant offers delivery services...
Introduction to Weafoodher
Weather Impact on Food Delivery Analysis Project Overview Imagine you’re craving your favorite spicy noodles or a comforting bowl of soup...
Conclusion
Throughout this project, we set out to understand what really drives whether a restaurant offers delivery, using a combination of real-world...
Visualizations
1. Cuisine Distribution Across Cities - Shows the top 15 cuisine types in the dataset - Helps understand the culinary diversity of the...
SVM
SVM Code and images and splits: Rishekesan3012/ML_WR Support Vector Machines (SVMs) are powerful supervised learning models used for class...
Clustering Analysis
Clustering Analysis Comparison of Clustering Algorithms K-means, hierarchical clustering, and DBSCAN represent three fundamentally diffe...
Models
Models to be implemented: XGBoost Regressor LightGBM Regressor CatBoost Regressor Random Forest Regressor Gradient Boosting Regressor Bayesi...
PCA
PCA Analysis Overview of Principal Component Analysis Principal Component Analysis (PCA) is a dimensionality reduction technique that tr...
Association Rule Mining (ARM) Analysis
Association Rule Mining (ARM) Analysis Methodology and Data Preparation Association Rule Mining was implemented to discover meaningful r...
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