Tag: Linear Regression Pipeline


  • Linear Regression Pipeline

    { "cells": [ { "cell_type": "markdown", "id": "f70cba96", "metadata": {}, "source": [ "### Configuration Variables." ] }, { "cell_type": "code", "execution_count": 1, "id": "84c02166", "metadata": {}, "outputs": [], "source": [ "# We Need To Provide All These Variables Before Proceding.n", "# All Column Names Of Your DataSet.n", "all_columns = ["Meter","dt","Global_reactive_power","Voltage","Global_intensity","Sub_metering_1","Sub_metering_2","Sub_metering_3","Power_Consumption"] n", "# Columns You Want To Drop From Your DataSet.n", "dropped_columns = ["dt"]n", "# Columns You Want To Train Your Model.n", "training_columns = ["Global_reactive_power","Voltage","Sub_metering_1","Sub_metering_2","Sub_metering_3"]n", "# Target Column You Are Predicting.n", "target_column = "Power_Consumption"n", "# Name Of The Column You Want To Do Iteration.n", "iter_column = ‘Meter’n", "# Input File Locationn",

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