You will get Clean data and a powerful ML/Deep Learning model!

Patrick N.Status: Offline
Patrick N.

Let a pro handle the details

Buy Machine Learning services from Patrick, priced and ready to go.
Patrick N.Status: Offline
Patrick N.

Let a pro handle the details

Buy Machine Learning services from Patrick, priced and ready to go.

Project details

You will receive a fully cleaned and preprocessed dataset ready for machine learning or deep learning modeling. With a strong background in data science and machine learning, I ensure the highest quality by meticulously handling missing values, outliers, and encoding categorical data. The final model will provide actionable insights and help your business make data-driven decisions. Every project I deliver is tailored to meet your specific needs, with a focus on accuracy and performance.
Machine Learning Tools
ChatGPT, Keras, NumPy, Python, Python Scikit-Learn, scikit-learn, Tableau, TensorFlow, XGBoost
What's included
Service Tiers Starter
$5
Standard
$15
Advanced
$20
Delivery Time 3 days 5 days 7 days
Number of Revisions
12Unlimited
Number of Model Variations
123
Number of Scenarios
123
Number of Graphs/Charts
246
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$6 - $21
Patrick N.Status: Offline

About Patrick

Patrick N.Status: Offline
AI & Machine Learning Engineer | Computer Vision & Deep Learning | Bui
Giza, Egypt - 9:11 pm local time
Are you looking to transform your raw data into predictive power and strategic advantage?

I am a dedicated and results-driven Data Scientist specializing in the full spectrum of AI, Machine Learning, and Deep Learning applications. I architect high-impact, scalable solutions that solve complex business problems, directly supporting executive decision-making and optimizing operational performance. I don't just run models—I deliver measurable ROI.

💡 What I Deliver: From Data to Decision
Value Proposition: This section uses clear bullet points to quickly link your skills to the client's business needs and the impact you provide.

I offer end-to-end expertise in leveraging data science to create actionable results:

Predictive AI & ML: Design and deploy robust Machine Learning models (classification, regression, time series) for accurate forecasting, risk assessment, and personalized customer experiences.

Advanced Deep Learning: Implement cutting-edge Neural Networks for high-accuracy solutions in challenging domains like Computer Vision (image processing) and Natural Language Processing (NLP).

Strategic Statistical Modeling: Conduct in-depth analysis and statistical modeling using tools like Stan and Bayesian techniques to provide clear, actionable insights that guide strategy.

Data Storytelling & Visualization: Transform complex, raw data into clean, insightful visual narratives using Python, Matplotlib, and Plotly, making findings instantly accessible and driving consensus.
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🛠️ Technical Mastery (My Toolkit)
The Credibility Check: A clean list that confirms your technical proficiency.

I utilize a modern and efficient data science stack:

Programming: Python (Pandas, NumPy)

ML/DL Frameworks: Scikit-learn, TensorFlow, Keras

Statistical Analysis: Stan, Hypothesis Testing, Data Modeling, Bayesian Methods

Visualization: Matplotlib, Seaborn, Plotly
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🤝 Let's Collaborate
The Call to Action: A confident closing that invites engagement.

I thrive on challenging projects and am committed to engineering solutions you can rely on.

If you need an expert to elevate your data strategy, deliver accurate predictions, or implement a state-of-the-art AI application, let's connect. Send me a message with a brief outline of your project, and let's explore how my expertise can help bring your vision to life.

Steps for completing your project

After purchasing the project, send requirements so Patrick can start the project.

Delivery time starts when Patrick receives requirements from you.

Patrick works on your project following the steps below.

Revisions may occur after the delivery date.

Data Cleaning

Clean the dataset, handle missing values, outliers, and encode data.

Preprocessing

Normalize or scale the data, split into training and testing sets.

Review the work, release payment, and leave feedback to Patrick.