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English
$
USD
I will analyse data and build machine learning models
Data Science and AIML Intern
I am a final-year Computer Science Engineering student specializing in Data Science with a 9.33 CGPA. I build end-to-end ML systems, from data preprocessing and feature engineering to model evaluation...
About this Gig
Looking for a customised Machine Learning solution for your project? Youre in the right place!
I develop end-to-end Machine Learning solutions using Python, from data preprocessing and model development to optimisation, evaluation, and deployment.
My services include:
- Machine Learning: Classification, regression, clustering, and predictive modelling.
- Deep Learning & NLP: Neural networks and text-processing solutions.
- Data Science: Exploratory data analysis, feature engineering, and visualisation.
- Model Optimisation: Hyperparameter tuning, cross-validation, and performance evaluation.
- Deployment & APIs: Deploying trained models and building REST APIs using Flask or FastAPI.
Whether you need a predictive model, an optimised ML pipeline, or a deployable AI application, Ill tailor the solution to your requirements.
Youll receive organised Python source code, appropriate evaluation metrics, and technical documentation.
I focus on reproducible code, reliable evaluation, and practical solutionsnot just training a model and hoping for the best!
Please contact me before ordering to discuss your project requirements, dataset, and expected deliverables.
Programming language:
Python
•
SQL
•
NoSQL
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
OpenCV
•
RStudio
FAQ
What information do you need to start my project?
I’ll need a description of your project objectives, your dataset (if available), the expected outcomes, and any specific technical requirements. If you’re unsure which approach to use, I can help determine a suitable solution.
What types of machine learning models can you develop?
I can develop classification, regression, clustering, and predictive modelling solutions using suitable machine learning algorithms. The approach will depend on your dataset, objectives, and project requirements.
Can you optimise an existing machine learning model?
Yes! I can evaluate existing models, analyse their performance, perform feature engineering, tune hyperparameters, and compare suitable approaches to identify potential improvements.
Can you work with my existing dataset?
Absolutely! I can work with existing datasets in formats such as CSV and Excel, subject to their size and complexity. Please share your dataset and requirements before ordering so I can confirm the scope.
Can you guarantee a specific model accuracy?
Model performance depends on data quality, dataset size, problem complexity, and other factors. I use appropriate evaluation methods and metrics to assess model performance, but I cannot guarantee a predetermined accuracy before examining the project.
Do you provide source code?
Yes! I provide Python source code and Jupyter Notebooks as specified in your selected package, along with explanations and relevant documentation.
