Perform regression/classification prediction on Excel dataset
Project description
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
- Linear Regression Prediction
from easy_predictor import linear
dataset = "path_to_excel_file"
linear.predict(dataset,dataset_type: 'xlsx','csv',column_x,column_y,value: int)
- Text Classification Prediction
from easy_predictor import classification
dataset = "path_to_excel_file"
classification.predict(dataset,dataset_type: 'xlsx','csv',column_x,column_y,value: str)
- Visualize Data
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
Latest Update 0.4.0
ImportError: cannot import name 'table' from 'easy_predictor'. Bug
Fixed
Latest Update 0.5.0
TypeError: object of type 'int' has no len(). Bug Fixed
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