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I will develop machine learning and deep learning models
About this Gig
Custom Machine Learning & Deep Learning Solutions
Are you looking for a professional AI developer who understands the math behind the models? As an Engineering student at a premier technical institute (NIT Bhopal), I provide high-performance, custom-built ML and DL solutions tailored to your specific technical or industrial data.
What I Offer:
- Deep Learning: Custom CNN architectures for image classification, LSTMs for time-series, and Computer Vision.
- Machine Learning: Regression, Clustering, Dimensionality Reduction, and Ensemble methods.
- Data Engineering: Advanced data cleaning and feature engineering.
- End-to-End Projects: From Exploratory Data Analysis to model deployment.
Why Choose Me?
- Technical Rigor: I specialize in building models from scratch, ensuring they are optimized for your specific constraints.
- Specialized Expertise: Unique experience in applying AI to Real World Problems.
- Clean Code: You receive fully documented, modular Python source code.
- Results-Driven: Every project includes performance metrics (Accuracy, F1-Score, ROC-AUC) to prove the models value.
Note: Please message me before placing an order to discuss your dataset and project requirements!
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
FAQ
Do I need to provide the dataset?
Ideally, yes. Most projects require your specific data to build a custom model. However, if you don't have a dataset, I can assist with data scraping or finding relevant open-source data for an additional fee. Please message me to discuss this first!
Which tools and libraries do you use?
I primarily work in Python. For Machine Learning and Deep Learning, I use TensorFlow, Keras, Scikit-Learn, and PyTorch. For data handling and visualization, I use Pandas, NumPy, Matplotlib, and Seaborn.
Will I receive the full source code?
Absolutely. Every package includes the complete, well-documented Python source code (Jupyter Notebook or .py files). I believe in delivering modular code that you can easily understand and maintain.
Can you handle complex engineering or technical data?
Yes! As an Engineering student at a premier technical institute (NIT), I am trained to handle high-stakes technical datasets. I have specific experience in applying AI to areas like Materials Science and industrial data classification.
How do you handle imbalanced or messy datasets?
I follow a rigorous preprocessing pipeline. This includes handling missing values, outlier detection, and using techniques like SMOTE (Synthetic Minority Over-sampling) for imbalanced classes. I ensure your data is "model-ready" before any training begins to guarantee reliable results.
Do you offer support after the project is delivered?
Yes! Every order includes a support period (7 days for Basic, 14 for Premium) where I can help you understand the code or troubleshoot any issues with the implementation. My goal is to ensure the solution works perfectly in your environment.
