You will get I will build a complete ML model for your dataset
Project details
Are you looking to build a powerful Machine Learning model that delivers accurate, reliable, and actionable predictions? You’re in the right place.
I will create a complete ML solution tailored to your dataset and your goal—whether it’s classification, regression, forecasting, or custom analytics. My workflow includes clean preprocessing, feature engineering, model selection, hyperparameter tuning, performance evaluation, and polished documentation.
With hands-on experience in Python, Pandas, NumPy, Scikit-learn, and Jupyter Notebooks, I will ensure your model is optimized, easy to understand, and ready to integrate into your system.
Let’s turn your data into insights and build an ML model that truly performs.
I will create a complete ML solution tailored to your dataset and your goal—whether it’s classification, regression, forecasting, or custom analytics. My workflow includes clean preprocessing, feature engineering, model selection, hyperparameter tuning, performance evaluation, and polished documentation.
With hands-on experience in Python, Pandas, NumPy, Scikit-learn, and Jupyter Notebooks, I will ensure your model is optimized, easy to understand, and ready to integrate into your system.
Let’s turn your data into insights and build an ML model that truly performs.
Machine Learning Tools
ChatGPT, Keras, NLTK, NumPy, pandas, Python, scikit-learn, SciPy, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 3 | 4 | 4 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $30
Additional Revision
+$15
Additional Model Variation
(+ 1 Day)
+$10
Additional Graph/Chart
+$10
Model Documentation
(+ 1 Day)
+$15Frequently asked questions
About Ayan
AI & Machine Learning Engineer | Cybersecurity Expert
Kolkata, India - 4:18 pm local time
What I Do
I design and develop:
Machine Learning models for classification, prediction, anomaly detection, and pattern recognition
Deep Learning architectures including LSTM-based sequence models for time-series and network traffic analysis
Cybersecurity ML systems, especially Intrusion Detection Systems (IDS) using datasets like CIC-IDS-2017 (PortScan, DDoS, DoS attacks, Web Attacks, Infiltration, Botnet)
Data processing pipelines, including data cleaning, preprocessing, balancing, feature extraction, and performance optimization
AI-powered automation tools using GPT/Gemini for research support, workflow automation, data analysis, and intelligent task execution
Custom AI chatbot systems integrated through API-based logic for specialized business needs
Tools & Technologies
Python, Scikit-learn, TensorFlow/Keras, Pandas, NumPy, XGBoost, LightGBM, LSTM models, Logistic Regression, SVM, Gradient Boosting, FastAPI, REST APIs.
How I Work
Clean, modular, and well-documented code
Strong understanding of ML best practices and model evaluation
Professional, structured approach from data preprocessing to final model delivery
Regular updates, clear communication, and client-focused execution
Solutions optimized for accuracy, speed, and long-term maintainability
I bring a strong foundation in AI/ML and hands-on experience in cybersecurity machine learning, making me capable of delivering high-impact, production-ready models tailored to your requirements.
If you need a dedicated ML/AI professional to build, train, optimize, or automate intelligent systems — I’m here to help.
Steps for completing your project
After purchasing the project, send requirements so Ayan can start the project.
Delivery time starts when Ayan receives requirements from you.
Ayan works on your project following the steps below.
Revisions may occur after the delivery date.
Review Requirements & Dataset
I review your dataset, project goals, and any instructions you provide. If needed, I request clarification to ensure we start correctly.
Build and Optimize the ML Model
I clean the data, perform feature engineering, train and tune the ML model, compare results, and prepare the final outputs (model files, notebook, and evaluation report).