You will get an end-to-end ML solution with deployment options
Project details
You will receive a complete, well-documented machine learning solution tailored to your dataset and project requirements. Whether your goal is classification, regression, clustering, or predictive analytics, I will build a reliable workflow using Python.
My service includes data cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, model training, evaluation, deployment with **Streamlit**, **Gradio**, or **FastAPI**, and clear documentation. I focus on writing clean, organized, and maintainable code.
I have completed professional training in Machine Learning and Generative AI and built end-to-end projects involving predictive modeling, data analysis, and deployment. I value clear communication, timely delivery, and providing solutions that help clients achieve their goals.
If you're looking for a dedicated freelancer to transform your data into actionable insights with a complete machine learning solution, I'd be happy to work with you.
My service includes data cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, model training, evaluation, deployment with **Streamlit**, **Gradio**, or **FastAPI**, and clear documentation. I focus on writing clean, organized, and maintainable code.
I have completed professional training in Machine Learning and Generative AI and built end-to-end projects involving predictive modeling, data analysis, and deployment. I value clear communication, timely delivery, and providing solutions that help clients achieve their goals.
If you're looking for a dedicated freelancer to transform your data into actionable insights with a complete machine learning solution, I'd be happy to work with you.
Machine Learning Tools
ChatGPT, Google Sheets, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPyWhat's included
| Service Tiers |
Starter
$25
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $35
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$20
Additional Graph/Chart
(+ 1 Day)
+$10Frequently asked questions
About Toqa
Machine Learning Engineer | Data Science & Predictive Analytics
Cairo, Egypt - 7:31 am local time
My expertise includes:
* Data cleaning, preprocessing, and exploratory data analysis (EDA)
* Feature engineering and data visualization
* Classification and regression models using Scikit-learn
* Model evaluation and performance optimization
* Python, Pandas, NumPy, Matplotlib, and Git/GitHub
* FastAPI and Streamlit for deploying machine learning applications
I have completed professional training in Machine Learning through the National Telecommunication Institute (NTI) and Generative AI through CIN. During my training and academic projects, I built end-to-end machine learning solutions, including customer churn prediction, house price prediction, and AI productivity prediction.
I believe in writing clean, well-documented code, delivering quality work on time, and maintaining clear communication throughout every project. Whether you need help with data preprocessing, predictive modeling, or building a complete machine learning workflow, I'm ready to help bring your ideas to life.
Steps for completing your project
After purchasing the project, send requirements so Toqa can start the project.
Delivery time starts when Toqa receives requirements from you.
Toqa works on your project following the steps below.
Revisions may occur after the delivery date.
Project Review & Data Assessment
Review your requirements, inspect the dataset, identify data quality issues, and determine the best machine learning approach.
Data Preparation
Clean and preprocess the data, handle missing values, perform feature engineering, and prepare the dataset for modeling.