You will get I will build a custom machine learning model using Python
Project details
I will develop a custom machine learning solution using Python, including data preprocessing, feature engineering, model training, evaluation, and clean documentation. You'll receive a reliable, scalable model tailored to your project requirements.
Machine Learning Tools
pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, XGBoostWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 1 day
- Number of Revisions 2
- Number of Model Variations 3
- Number of Scenarios 1
- Number of Graphs/Charts 10
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$5About Omar
AI & Machine Learning | Neural Network, Artificial Neural Network, C#
Alexandria, Egypt - 5:35 am local time
Communications Engineering student at Alexandria University focused on data science and applied
machine learning. Experience spans exploratory data analysis, classical model comparison and
evaluation, and applied classification systems on real-world datasets - with neural network
fundamentals implemented from scratch for a deeper understanding of how models actually work.
Currently expanding into deep learning.
PROJECTS
Network Intrusion Detection Dashboard View on GitHub
* Trained and compared Random Forest and multiple XGBoost variants for multi-class network attack
classification on the CIC-IDS2017 dataset
* Addressed severe class imbalance in the dataset using SMOTE
* Built an interactive dashboard for adjustable-threshold predictions and confidence scoring
MAGIC Gamma Telescope Classification View on GitHub
* Performed exploratory data analysis and automated data profiling on the MAGIC Gamma Telescope
dataset
Steps for completing your project
After purchasing the project, send requirements so Omar can start the project.
Delivery time starts when Omar receives requirements from you.
Omar works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Planning
I will review your dataset and requirements, identify the project objective, and determine the most suitable machine learning approach.
Data Preparation
I will clean and preprocess the data, perform feature engineering if needed, and prepare it for model training.