You will get a custom machine learning model for predictive analysis using Python


Project details
Predict the future of your business using advanced Machine Learning.
Don't guess what will happen next—calculate it. I am a Google Certified Data Analytics Professional specialized in building predictive models that solve real business problems, such as employee turnover, sales forecasting, and customer churn.
My Approach: I follow the PACE (Plan, Analyze, Construct, Execute) framework to ensure your model isn't just a black box, but a strategic tool.
What I Can Build For You:
-Classification Models: Predict "Yes/No" outcomes (e.g., Will this employee leave? Is this transaction fraudulent?).
-Regression Models: Predict numerical values (e.g., What will next month's revenue be?).
-Feature Importance: Identify exactly which factors drive your outcomes (e.g., "Working overtime is the #1 cause of attrition").
Deliverables:
-Python Source Code (Jupyter Notebook).
-Model Performance Report (Accuracy, F1 Score, Confusion Matrix).
-Strategic Recommendations based on findings.
Leverage the power of Scikit-learn and Python to make data-driven decisions today.
Don't guess what will happen next—calculate it. I am a Google Certified Data Analytics Professional specialized in building predictive models that solve real business problems, such as employee turnover, sales forecasting, and customer churn.
My Approach: I follow the PACE (Plan, Analyze, Construct, Execute) framework to ensure your model isn't just a black box, but a strategic tool.
What I Can Build For You:
-Classification Models: Predict "Yes/No" outcomes (e.g., Will this employee leave? Is this transaction fraudulent?).
-Regression Models: Predict numerical values (e.g., What will next month's revenue be?).
-Feature Importance: Identify exactly which factors drive your outcomes (e.g., "Working overtime is the #1 cause of attrition").
Deliverables:
-Python Source Code (Jupyter Notebook).
-Model Performance Report (Accuracy, F1 Score, Confusion Matrix).
-Strategic Recommendations based on findings.
Leverage the power of Scikit-learn and Python to make data-driven decisions today.
Machine Learning Tools
NumPy, pandas, Python, scikit-learnWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 3 |
Number of Graphs/Charts | 3 | 5 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Documentation
(+ 1 Day)
+$40Frequently asked questions
About Geoffrey
Data Analyst & Python Expert | Tableau, Excel & Process Improvement
Nairobi, Kenya - 6:57 am local time
Do you have messy data that needs cleaning, or complex datasets that need to be visualized for better decision-making?
I am a Data Analyst and Mechanical Engineer specializing in Python, data visualization, and process improvement. Unlike a standard data entry clerk, I apply Six Sigma principles to ensure your data is not just accurate, but organized efficiently to save you time.
How I Can Help You:
1. Data Analysis & Cleaning: Expert in using Python (Pandas, NumPy) to clean large datasets, remove duplicates, and prepare data for analysis.
2. Visualization: Creating interactive, professional dashboards in Tableau and Excel to track KPIs and trends (e.g., Sales, Operations, geospatial data).
3. Process Optimization: Using Six Sigma Green Belt methodologies to analyze business workflows and identify bottlenecks.
4. Predictive Modeling: Building machine learning models (Regression, Classification) to forecast trends using Scikit-learn.
My Toolkit:
-Languages: Python, SQL, C/C++
-Software: Tableau, Microsoft Excel (Advanced), Power BI basics
-Methodologies: DMAIC, Root Cause Analysis, Statistical Analysis
I am detail-oriented, deadline-driven, and ready to turn your data into a strategic asset. Let’s discuss how I can help with your next project!
Steps for completing your project
After purchasing the project, send requirements so Geoffrey can start the project.
Delivery time starts when Geoffrey receives requirements from you.
Geoffrey works on your project following the steps below.
Revisions may occur after the delivery date.
Exploratory Data Analysis (EDA)
I will inspect the data distributions and correlations to understand the factors influencing your target.
Preprocessing
I will clean data, encode categorical variables, and handle outliers to ensure the model trains correctly.