Skip to main content

Perform regression/classification prediction on Excel dataset

Project description

Screenshot_10

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
  • Visualize excel dataset by utilizing tabulator function

Instruction

  1. 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)
  1. 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)
  1. Visualize Data
from easy_predictor import table

dataset = "path_to_excel_file"
table.tabulator(dataset,dataset_type: 'xlsx','csv',columns=list[str])

Latest Update 0.1.0

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easy_predictor-0.6.1.tar.gz (3.6 kB view hashes)

Uploaded Source

Built Distribution

easy_predictor-0.6.1-py3-none-any.whl (4.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page