title here

Introduction

NASA Asteroids Classification

import pandas as pd # Load the data set df = pd.read_csv ('nasa.csv') df

Methodology

Pre-Processing

df.info() # no null values

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 4687 entries, 0 to 4686
Data columns (total 40 columns):
 #   Column                        Non-Null Count  Dtype  
---  ------                        --------------  -----  
 0   Neo Reference ID              4687 non-null   int64  
 1   Name                          4687 non-null   int64  
 2   Absolute Magnitude            4687 non-null   float64
 3   Est Dia in KM(min)            4687 non-null   float64
 4   Est Dia in KM(max)            4687 non-null   float64
 5   Est Dia in M(min)             4687 non-null   float64
 6   Est Dia in M(max)             4687 non-null   float64
 7   Est Dia in Miles(min)         4687 non-null   float64
 8   Est Dia in Miles(max)         4687 non-null   float64
 9   Est Dia in Feet(min)          4687 non-null   float64
 10  Est Dia in Feet(max)          4687 non-null   float64
 11  Close Approach Date           4687 non-null   object 
 12  Epoch Date Close Approach     4687 non-null   int64  
 13  Relative Velocity km per sec  4687 non-null   float64
 14  Relative Velocity km per hr   4687 non-null   float64
 15  Miles per hour                4687 non-null   float64
 16  Miss Dist.(Astronomical)      4687 non-null   float64
 17  Miss Dist.(lunar)             4687 non-null   float64
 18  Miss Dist.(kilometers)        4687 non-null   float64
 19  Miss Dist.(miles)             4687 non-null   float64
 20  Orbiting Body                 4687 non-null   object 
 21  Orbit ID                      4687 non-null   int64  
 22  Orbit Determination Date      4687 non-null   object 
 23  Orbit Uncertainity            4687 non-null   int64  
 24  Minimum Orbit Intersection    4687 non-null   float64
 25  Jupiter Tisserand Invariant   4687 non-null   float64
 26  Epoch Osculation              4687 non-null   float64
 27  Eccentricity                  4687 non-null   float64
 28  Semi Major Axis               4687 non-null   float64
 29  Inclination                   4687 non-null   float64
 30  Asc Node Longitude            4687 non-null   float64
 31  Orbital Period                4687 non-null   float64
 32  Perihelion Distance           4687 non-null   float64
 33  Perihelion Arg                4687 non-null   float64
 34  Aphelion Dist                 4687 non-null   float64
 35  Perihelion Time               4687 non-null   float64
 36  Mean Anomaly                  4687 non-null   float64
 37  Mean Motion                   4687 non-null   float64
 38  Equinox                       4687 non-null   object 
 39  Hazardous                     4687 non-null   bool   
dtypes: bool(1), float64(30), int64(5), object(4)
memory usage: 1.4+ MB

df['Orbiting Body'].unique() # pwede i-drop kasi same val lang for everything

df['Orbit ID'].unique().shape

remove_columns = [x for x in df if 'km' in x.lower() or 'feet' in x.lower() or 'kilometers' in x.lower()] remove_columns = remove_columns + ['Orbiting Body', 'Est Dia in M(min)', 'Est Dia in M(max)'] remove_columns

df[[x for x in df if x not in remove_columns]].iloc[0]