the code for data-science-nigeria qualification round. a regression task towards the prediction of goods prices in stores
```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelBinarizer,StandardScaler,LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV,RandomizedSearchCV
from sklearn.ensemble import VotingClassifier
%matplotlib inline
```
## Reading in the dataset
```python
# read in the dataset and preview it
full_dataset=pd.read_csv("train.csv")
full_dataset.head()
```
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EmployeeNo
Division
Qualification
Gender
Channel_of_Recruitment
Trainings_Attended
Year_of_birth
Last_performance_score
Year_of_recruitment
Targets_met
Previous_Award
Training_score_average
State_Of_Origin
Foreign_schooled
Marital_Status
Past_Disciplinary_Action
Previous_IntraDepartmental_Movement
No_of_previous_employers
Promoted_or_Not
0
YAK/S/00001
Commercial Sales and Marketing
MSc, MBA and PhD
Female
Direct Internal process
2
1986
12.5
2011
1
0
41
ANAMBRA
No
Married
No
No
0
0
1
YAK/S/00002
Customer Support and Field Operations
First Degree or HND
Male
Agency and others
2
1991
12.5
2015
0
0
52
ANAMBRA
Yes
Married
No
No
0
0
2
YAK/S/00003
Commercial Sales and Marketing
First Degree or HND
Male
Direct Internal process
2
1987
7.5
2012
0
0
42
KATSINA
Yes
Married
No
No
0
0
3
YAK/S/00004
Commercial Sales and Marketing
First Degree or HND
Male
Agency and others
3
1982
2.5
2009
0
0
42
NIGER
Yes
Single
No
No
1
0
4
YAK/S/00006
Information and Strategy
First Degree or HND
Male
Direct Internal process
3
1990
7.5
2012
0
0
77
AKWA IBOM
Yes
Married
No
No
1
0
```python
```
## Slight Exploratory Data Analysis of the data to know what we are working with Plus comments
```python
# get a general feel of the data
full_dataset.info()
# note that …