Perform regression/classification prediction on Excel dataset
Project description
Easy Predictor
Perform Regression/Classifcation prediction on Excel dataset with ease.
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
- Linear Regression Prediction
from easy_predictor import linear
dataset = "path_to_excel_file"
linear.predict(dataset,dataset_type: 'xlsx','csv',columns=list[str],column_y,value: int)
- Text Classification Prediction
from easy_predictor import classification
dataset = "path_to_excel_file"
classification.predict(dataset,dataset_type: 'xlsx','csv',columns=list[str],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])
Github Link
https://github.com/Tho100/easy_predictor
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 the predicted value to variable
Project details
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