I will build python, machine learning, deep learning, and nlp solutions for your data


About this gig
Do you have data and need a model? A text dataset and need insights? A deep learning use case but no idea where to start? I cover all three disciplines classical ML, deep learning, and NLP so you don't need to hire multiple freelancers.
1: MACHINE LEARNING
Classification, regression & clustering (scikit-learn, XGBoost, Random Forest)
Data preprocessing, EDA & feature engineering
Hyperparameter tuning (GridSearch, RandomSearch, Optuna)
Model evaluation accuracy, F1, confusion matrix, cross-validation
2: DEEP LEARNING
CNNs for image classification and recognition
RNNs / LSTMs for time-series and sequential data
Custom neural networks in PyTorch or TensorFlow
Transfer learning & fine-tuning pre-trained models
3: NLP
Sentiment analysis, text classification & topic modelling
Named Entity Recognition (NER)
Fine-tuning BERT
Keyword extraction, summarization & question answering
Every task includes:
>Jupyter notebook with step-by-step explanations
>Clean, well-commented Python scripts
>Evaluation report with visualizations
>README so you understand exactly what was built and how to run it
share your dataset or project brief and I'll confirm the scope and best model for your data.
Get to know Abid Ali
AI ML, Generative AI, LLM Apps, RAG Chatbots, FastAPI And Model Deployment
- FromPakistan
- Member sinceMar 2026
Languages
Urdu, English
My Portfolio
FAQ
Q: Which package is right for my project?
The Basic package ($90) is ideal for a single, well-scoped ML or NLP task on a clean dataset. The Standard package ($150) suits full end-to-end pipelines with preprocessing, tuning, and evaluation. The Premium package ($250) is for deep learning, Transformer fine-tuning, FastAPI endpoints.
Q: Do I need to provide my own dataset?
Ideally yes — your own data gives the most relevant results. However, if you don't have a dataset, I can use a suitable open-source dataset (e.g. from Kaggle or UCI) and clearly document which one was used and why it fits your use case.
Q: What format will my deliverables be in?
You'll receive a ZIP file or GitHub repository containing: clean Python scripts, a Jupyter notebook with explanations, saved model files (.pkl / .pt / .h5), evaluation charts, and a README with instructions on how to run everything. No setup headaches.
Q: Do you provide a deployed API for the model?
Yes — a FastAPI inference endpoint is included in the Premium package, so your model is ready to integrate into any application. For Basic or Standard orders, API deployment can be added as a custom extra. Just mention it when you message me.
Q: What if I'm not satisfied with the results?
Each package includes revisions (1 for Basic, 2 for Standard, 3 for Premium). I'll work with you until the output meets your requirements. If a model's accuracy isn't meeting expectations due to data limitations, I'll explain why and suggest practical improvements.
