Predictive Analysis

Starting at

$

1,500

About this service

Summary

We use powerful statistical models like logistic regression and decision trees to forecast outcomes and guide strategic decisions. This service helps you anticipate customer behavior, identify risks, or optimize operations with data-driven predictions tailored to your business goals.

Process

Data Preprocessing: Handling missing values, insconsistent data; converting categorical variables;
Exploratory Data Analysis: Understand Data distribution and correlation
Splitting the data: Dividing the dataset into training and test data
Model Selection and training: Logistic Regression / Decision Trees
Model Evaluation: Accuracy, Precision, Recall, F1 score; Confusion Matrix; Roc-Auc Curve;
Hyperparameter Tuning: To optimize model parameters.
Report prepration

What's included

  • Predictive Analysis Report in pdf & word format.

    The report would cover the following: - Executive Summary - Introduction: Purpose of Analysis, Brief Dataset description - Data Cleaning: Brief on handling of missing values - Univariate Analysis - Bivariate & Multivariate Analysis: Scatter Plots, Correlation matrix, etc. - Insights & Key Finding from EDA: Summary of major trends, relationships, business implications - Machine Learning Model selected for analysis - Model performance and evaluation - Actionable insights and recommendations

  • Predictive Analysis PPT

    The slide deck in both pdf and ppt format will be shared.


Duration

2 weeks

Skills and tools

Data Analyst

Statistician

Jupyter

Jupyter

Python

Python

scikit-learn

scikit-learn

Industries

Advertising
Analytics
Business Management