I will build an end to end machine learning project with deployment
ML Expert, MATLAB and Robotics
About this Gig
Are you looking for a complete, end-to-end Machine Learning solution from dataset to deployment?
You're in the right place!
I specialize in building production-ready ML pipelines, including data preprocessing, model training, hyperparameter tuning, evaluation, and deployment using modern tools such as FastAPI, Flask, Streamlit, Docker, and cloud platforms.
Whether its a business project, academic work, or a research model I deliver fully working, ready-to-use AI systems.
What You Will Get:
1. Data Handling:
- Data cleaning & preprocessing
- Feature engineering
- Exploratory Data Analysis (EDA)
- Train/validation/test splitting
2. ML & AI Model Development:
- Classification / Regression
- Prediction systems
- Deep Learning models (CNN, LSTM, ANN)
- Hyperparameter tuning
- Performance optimization
3. Model Evaluation:
- Accuracy, F1-score, Recall, Precision
- Confusion matrices
- Loss/accuracy curves
- Insightful visualizations
4. Deployment Options:
- API deployment (FastAPI / Flask)
- Web app deployment (Streamlit / Gradio)
- Cloud deployment (AWS / GCP / Azure)
- Docker container setup
- Model saving & loading (Pickle, Joblib, H5)
5. Deliverables:
- Clean, professional Python code
- ML Notebook + deployment files
Programming language:
Python
•
Colab
•
Java
•
MLflow
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
•
Colab

