You will get Building Machine Learning Models
Project details
Are you looking to extract actionable insights or build a robust ML model? I provide end-to-end Machine Learning and Data Analytics solutions tailored to your project goals, focusing on rigorous data engineering, statistical accuracy, and optimization.
What Is Included:
• Data Cleaning & EDA: Handling missing values, outlier detection, and feature engineering.
• Model Selection: Supervised (Regression, Classification) or Unsupervised (Clustering).
• Training & Validation: Train/Test split, cross-validation, and parameter tuning to prevent overfitting.
• Evaluation Metrics: Confusion Matrix, Precision/Recall, ROC-AUC, RMSE, and R2 score.
• Live Web Deployment: Converting your model into an interactive Streamlit web app hosted on a live URL for real-time predictions!
Tech Stack:
Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn), Streamlit.
Why Work With Me?
• Production-Ready Code: Clean, fully documented Python scripts/Jupyter Notebooks.
• Analytical Precision: Strong foundation in statistical modeling.
• Interactive Results: A live web app to interact with your model seamlessly.
What Is Included:
• Data Cleaning & EDA: Handling missing values, outlier detection, and feature engineering.
• Model Selection: Supervised (Regression, Classification) or Unsupervised (Clustering).
• Training & Validation: Train/Test split, cross-validation, and parameter tuning to prevent overfitting.
• Evaluation Metrics: Confusion Matrix, Precision/Recall, ROC-AUC, RMSE, and R2 score.
• Live Web Deployment: Converting your model into an interactive Streamlit web app hosted on a live URL for real-time predictions!
Tech Stack:
Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn), Streamlit.
Why Work With Me?
• Production-Ready Code: Clean, fully documented Python scripts/Jupyter Notebooks.
• Analytical Precision: Strong foundation in statistical modeling.
• Interactive Results: A live web app to interact with your model seamlessly.
Machine Learning Tools
NumPy, Python, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$7 - $25
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
+$5
Model Documentation
(+ 1 Day)
+$8
Data Source Connectivity
(+ 1 Day)
+$10About Abdallah
Data Scientist | Machine Learning Engineer
Alexandria, Egypt - 5:05 am local time
I help businesses make data-driven decisions by building robust machine learning pipelines and interactive visualizations. With a strong foundation in mathematics and statistics, I specialize in transforming raw datasets into strategic assets.
Whether it’s developing neural networks for complex patterns or crafting executive Power BI dashboards that tell a story, my focus is always on delivering measurable value. My approach combines technical rigor with a deep understanding of UI/UX principles in data storytelling, ensuring that technical solutions are both powerful and accessible to stakeholders.
From data cleaning and preprocessing to deploying predictive models, I bridge the gap between technical complexity and real-world business challenges.
Steps for completing your project
After purchasing the project, send requirements so Abdallah can start the project.
Delivery time starts when Abdallah receives requirements from you.
Abdallah works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation & Exploratory Analysis
I will thoroughly clean your dataset, handle any missing values or outliers, perform feature engineering, and conduct Exploratory Data Analysis (EDA) to understand the data's core patterns
Model Selection & Training
Based on your data and goals, I will select the most appropriate Machine Learning algorithm (Supervised or Unsupervised) and train the model using a robust train/test split methodology