# Easy Predictor
Perform Regression/Classifcation prediction on Excel dataset with ease.
# Github Link
https://github.com/Tho100/easy_predictor
## Features
- Perform linear regression prediction by utilizing **linear** function
- Perform classification prediction by utilizing **classification** function
- Perform statistical calculation by utilizing **stats** function
- Visualize excel dataset by utilizing **tabulator**
## Instruction
1. Linear Regression Prediction
```python
from easy_predictor import linear
dataset = "path_to_excel_file"
model = linear.linear_regression()
model.predict(dataset,data_type: str,column_x: list[str],value: list[int],column_y: str)
```
2. Text Classification Prediction
```python
from easy_predictor import classification
dataset = "path_to_excel_file"
model = classification.classification()
model.predict(dataset,data_type: str,column_x: list[str],value: list[int],column_y: str)
```
3. Visualize Data
```python
from easy_predictor import table
dataset = "path_to_excel_file"
table.tabulator(dataset,dataset_type: 'xlsx','csv',columns=list[str])
```
# Statistical Calculation
## Available Statistical Function
- Mean
- Median
- Mode
- Half
**Mean**
```python
from easy_predictor import stats
dataset = "path_to_excel"
model = stats.statistical()
model.mean(dataset,dtype: str,column=['Column1'])
```
**Median**
```python
from easy_predictor import stats
dataset = "path_to_excel"
model = stats.statistical()
model.median(dataset,dtype: str,column=['Column1'])
```
**Mode**
```python
from easy_predictor import stats
dataset = "path_to_excel"
model = stats.statistical()
model.mode(dataset,dtype: str,column=['Column1'])
```
**Half**
```python
from easy_predictor import stats
dataset = "path_to_excel"
model = stats.statistical()
model.half(dataset,dtype: str,column=['Column1']) # Find half values of each rows from Column1
```
## Latest Update 0.1.0
```
CSV (Comma Seperated Values) File supported
```
## Latest Update 0.2.0
```
New 'table' Function To Visualize Data In Tabular Form
```
## Latest Update 0.3.0
```
ImportError: cannot import name 'table' from 'easy_predictor'. Bug
Fixed
```
## Latest Update 0.4.0
```
TypeError: object of type 'int' has no len(). Bug Fixed
```
## Latest Update 0.5.0
```
Bugs Fixed
```
## Latest Update 0.6.1
```
Multiple Column Input Supported
```
## Latest Update 0.6.2
```
Statistical Function
```
## Latest Update 0.6.3
```
Bugs Fixed
```
## Latest Update (0.6.6)
- **User Now Can Assign A Variable To Predicted Value**
- **Bug Fixed**
## Latest Update (0.6.7)
- **`got multiple values for argument 'data_type'` Bug fixed**
- **More Clean Looking Output**
