I will build a machine learning model for classification, prediction, or recommendation
About this gig
Do you have a dataset and need a working ML model that solves
your actual problem?
I build, train, and deploy machine learning models tailored to
your data and objective.
WHAT I BUILD:
- Classification (spam, fraud, churn, sentiment, image)
- Regression & prediction (price, demand, forecasting)
- Recommendation systems (collaborative filtering, SVD, NMF)
- NLP (sentiment analysis, text classification)
- Computer vision (image classification, CNN)
DELIVERED & DEPLOYED:
- Movie recommendation system live on Hugging Face
- Cat vs Dog image classifier 96% accuracy, live on Hugging Face
- Game review sentiment classifier 82% accuracy
WHAT YOU GET:
- Trained model with full evaluation metrics
- Clean Jupyter notebook with complete pipeline
- GitHub repository with documented code
- Hugging Face deployment (Standard & Premium)
STACK:
Python, scikit-learn, TensorFlow, Keras, NLTK,
pandas, Gradio, Hugging Face, PyTorch
IMPORTANT:
Client must provide the dataset. Orders cannot
begin without data.
Get to know Zunaine Nashid
Full Stack Developer, AI, ML and Data Analytics
- FromBangladesh
- Member sinceMay 2026
- Avg. response time1 hour
Languages
Bengali, English
FAQ
What do you need from me to get started?
Your dataset (CSV, Excel, or database export) and a clear description of what you want to predict or classify. If you do not have a dataset, message me first.
What if my dataset is messy or has missing values?
Basic data cleaning and preprocessing is included in all packages. For heavily unstructured or large datasets, message me first to assess scope.
Will I be able to retrain the model on new data?
Yes. The delivered notebook includes the full pipeline so you can retrain with updated data. Premium includes documentation on how to do this.
What accuracy can I expect?
Depends entirely on your data quality and problem type. I report all standard metrics (accuracy, F1, precision, recall, ROC-AUC) and am transparent about model limitations.
Can you deploy the model so others can use it?
Yes — Standard and Premium include Hugging Face deployment with a Gradio interface. Premium also includes an API endpoint for integration into other applications.
Do you work with image, text, or tabular data?
All three. Computer vision (CNN), NLP (text classification, sentiment), and structured tabular data (classification, regression, clustering).

