You will get Build a Machine Learning Model to Predict Your Business Outcomes
Project details
I will build a powerful Machine Learning model to predict employee attrition and performance using Python. This project helps HR teams identify at-risk employees, improve retention, and enhance productivity. With professional data analysis, clean code, and visual insights, you’ll get actionable results that make business decisions smarter.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Google Sheets, Microsoft Excel, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$10About Dina
AI & Machine Learning Engineer | Data Analysis & Prediction
Giza, Egypt - 9:37 am local time
I specialize in predictive modeling, data analysis, and natural language processing (NLP) using Python and popular ML libraries like Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn.
What I can help you with:
Building and training ML models for prediction and classification
Data cleaning, preprocessing, and visualization
Evaluating model performance and optimizing accuracy
Developing AI-based solutions with clean, well-documented code
My recent projects include:
House Price Prediction: Built a regression model to predict property prices using Scikit-learn.
Iris Species Classification: Created a classification model with 95% accuracy.
Spam Message Detection: Developed a text classification model using TF-IDF and Naive Bayes.
I’m always eager to collaborate on innovative AI or data-driven projects — let’s work together to turn your idea into a real, intelligent solution!
Steps for completing your project
After purchasing the project, send requirements so Dina can start the project.
Delivery time starts when Dina receives requirements from you.
Dina works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding & Cleaning
Analyze and clean the dataset to handle missing values and prepare it for modeling
Model Development
Build and train predictive models using Python (Scikit-learn) to predict employee attrition.