You will get Python, Data Science, Machine Learning & Deep Learning Solutions
Project details
Are you looking to turn raw data into actionable insights or build intelligent AI systems that solve real business problems?
I provide end-to-end Python-based Data Science, Machine Learning, and Deep Learning solutions tailored to your dataset and goals. From data preprocessing to deployment, I handle the full pipeline.
✅ What You Get:
• Data Preprocessing: missing values, outliers, encoding, scaling, feature engineering
• Exploratory Data Analysis (EDA): insights, statistics, and visualizations
• Machine Learning: Regression, Classification, Clustering (Scikit-learn, XGBoost, LightGBM, CatBoost)
• Deep Learning: CNNs, ANNs, Transfer Learning (TensorFlow & Keras)
• Model Evaluation: accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix
• Clean, documented Python code (Jupyter + scripts)
• Optional Deployment: Flask/FastAPI APIs or cloud-ready models
🧠 Machine Learning Services
Supervised & Unsupervised Learning
Classification (image, multi-class, multi-label)
Regression & Forecasting
Clustering & Dimensionality Reduction
Stochastic Gradient Descent (SGD)
Linear / Logistic / Multiple Regression
Decision Tree, Random Forest, XGBoost, KNN, K-Means
I provide end-to-end Python-based Data Science, Machine Learning, and Deep Learning solutions tailored to your dataset and goals. From data preprocessing to deployment, I handle the full pipeline.
✅ What You Get:
• Data Preprocessing: missing values, outliers, encoding, scaling, feature engineering
• Exploratory Data Analysis (EDA): insights, statistics, and visualizations
• Machine Learning: Regression, Classification, Clustering (Scikit-learn, XGBoost, LightGBM, CatBoost)
• Deep Learning: CNNs, ANNs, Transfer Learning (TensorFlow & Keras)
• Model Evaluation: accuracy, precision, recall, F1-score, ROC-AUC, confusion matrix
• Clean, documented Python code (Jupyter + scripts)
• Optional Deployment: Flask/FastAPI APIs or cloud-ready models
🧠 Machine Learning Services
Supervised & Unsupervised Learning
Classification (image, multi-class, multi-label)
Regression & Forecasting
Clustering & Dimensionality Reduction
Stochastic Gradient Descent (SGD)
Linear / Logistic / Multiple Regression
Decision Tree, Random Forest, XGBoost, KNN, K-Means
Machine Learning Tools
Keras, NLTK, NumPy, pandas, Python, PyTorch, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 7 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 5 | 8 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Model Documentation
(+ 1 Day)
+$20About Mohamed
Machine Learning Engineer
Banha, Egypt - 11:21 am local time
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Understand project requirements & data
Review your dataset, clarify the business goal, confirm target variable, and agree on the final deliverables and timeline.
Data preprocessing & exploration
Clean missing values, handle outliers, encode categorical features, scale data, and perform EDA with visualizations.