predict-the-object-collision 0.2.0

The goal of this project is to predict the collision of nearest objects around the mighty EARTH.

Predict the Collision and Save the Earth

About the Dataset

The official dataset is from NASA's official website https://cneos.jpl.nasa.gov/ca/ . And the modified version of this dataset is available on Kaggle. Link : https://www.kaggle.com/datasets/sameepvani/nasa-nearest-earth-objects The dataset consists of 90837 rows and 10 columns.

The models are used in this project,

• Adaboost Classifier
• Logistic Regression
• Multi-Layer Perceptron
• Stochastic Gradient Descent
• XGBoost Classifier
• Linear Perceptron Classifier
• Support Vector Classification
• Gradient Boosting Classifier
• K-Nearest Neighbors
• Random Forest Classifier

Procedure

• First install the package using pip

pip install predict-the-collision

• import main_fun() from predict_collision

from predict_collision import main_fun

• The first parameter is "Data Path of CSV" and the second parameter is "Input Number of the prediction model"

Model Name	User input
Adaboost Classifier	1
Logistic Regression	2
Multi-Layer Perceptron	3
Stochastic Gradient Descent	4
XGBoost Classifier	5
Linear Perceptron Classifier	6
Support Vector Classification	7
Gradient Boosting Classifier	8
K-Nearest Neighbors	9
Random Forest Classifier	10

• Such as

main_fun("csv_path", 1)