Metadata-Version: 2.1
Name: easy-predictor
Version: 0.3.0
Summary: Perform regression/classification prediction on Excel dataset
Home-page: https://github.com/Tho100/easy_regression
Author: Hafiy Danish
Author-email: nfrealyt@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Easy Predictor 

Perform regression/classification prediction on small Excel dataset in one line!

# Side Note

Currently only two columns are allowed be use on the prediction (Independent & Dependent variable).

## Instruction

1. Linear Regression Prediction

```python
from easy_predictor import linear 

dataset = "path_to_excel_file"
linear.predict(dataset,dataset_type: 'xlsx','csv',column_x,column_y,value: int)
```
2. Text Classification Prediction

```python
from easy_predictor import classification

dataset = "path_to_excel_file"
classification.predict(dataset,dataset_type: 'xlsx','csv',column_x,column_y,value: 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])
```

## Latest Update 0.2.0

```
CSV (Comma Seperated Values) File supported
```
## Latest Update 0.3.0

```
New 'table' Function To Visualize Data In Tabular Form
```
