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English
$
USD
I will build machine learning and deeplearning models for prediction
I Turn Data Into Intelligence Using Machine Learning and Deep Learning
I'm Muneeb, a Data Scientist & ML Engineer who builds accurate, production-ready models that solve real problems. I specialize in regression, classification, feature engineering, and end-to-end data p...
About this Gig
Looking for accurate, production ready ML models that solve real problems? You're in the right place.
I build end-to-end machine learning and deep learning solutions in Python from raw, messy data to fully working predictive models and data pipelines.
WHAT YOU GET
- Regression & classification models (Linear, SVM,Decision Tree, Random Forest, Gradient Boosting)
- Data preprocessing: cleaning, encoding, outlier removal, feature engineering
- Data Visualization: Plots/Graphs using Matplotlib and Seaborn
- Model evaluation: R², MAE, RMSE, Accuracy, F1-Score, Confusion Matrix
- ETL pipelines: API extraction, transformation, PostgreSQL loading
- Streamlit dashboards & professional visualizations
- Clean, well-commented Python code + full source included
REAL PROJECTS DELIVERED
- 5-model sales forecasting pipeline (scikit-learn)
- Car price predictor with categorical encoding
- Iris classifier SVM, KNN, RF with 5-fold cross-validation
- Live crypto ETL dashboard CoinGecko API + PostgreSQL + Streamlit
Clean code. Clear explanations. Real results.
Message me before ordering let's discuss your project!
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
APIs:
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
Colab
My Portfolio
FAQ
What kind of ML problems can you solve?
I can solve a wide range of supervised and unsupervised ML problems including regression (price prediction, sales forecasting), classification (spam detection, churn prediction,etc), clustering, and anomaly detection. If you're unsure whether your problem fits, just message me and I'll tell you.
Do I need to provide my own dataset?
Yes, ideally you should provide your dataset. However, if you don't have one, I can source a relevant public dataset (from Kaggle, UCI, or open APIs) for your problem. The better your data, the better your model's accuracy — so sharing real data always gives the best results.
What format will the deliverables be in?
You'll receive a clean Jupyter Notebook (.ipynb) with full source code, well-commented explanations, and visualizations. For Standard and Premium packages, you'll also get a PDF report or model documentation. All files are delivered as a ZIP archive so everything is organized and ready to use.
Can you guarantee a specific model accuracy?
No honest ML professional can guarantee a fixed accuracy it depends heavily on your data quality, size, problem complexity. What I do guarantee is that I will apply the best preprocessing,featureengineering,model optimization techniques to maximize performance. I'll always show you evaluation metric
Which Python libraries and tools do you use?
I primarily use scikit-learn, pandas, NumPy, Matplotlib, and Seaborn for ML and data analysis. For pipelines and databases I use PostgreSQL, psycopg2, and MySQL. For dashboards I use Streamlit. For deep learning tasks I use TensorFlow/Keras. All libraries are industry-standard and widely supported.
Will I understand the code even if I'm not technical?
Absolutely. Every notebook is written with clear, step-by-step comments explaining what each block of code does and why. For Standard and Premium packages, I also include a written summary of findings and results in plain English, so you understand the insights, not just the code.
Can you deploy the model so I can use it live?
Yes cloud deployment and API integration are included in the Premium package. I can deploy your model as a Streamlit web app or a REST API endpoint so it's ready to use in production. If you need deployment on a specific platform (AWS, Render), message me before ordering so we can align on the setup
What if I need something custom not listed in your packages?
No problem at all. Message me with your requirements and I'll send you a custom offer tailored to your exact needs. Whether it's a unique dataset, a specific algorithm, a larger pipeline, or a combined ML + dashboard project. I'm happy to discuss and quote accordingly.
Is my data kept confidential?
100% yes. Your data is used solely for completing your project and is never shared, published, or reused in any form. If you require a Non-Disclosure Agreement (NDA) before sharing sensitive data, I'm happy to sign one. Your privacy and data security are taken seriously on every project.
How do revisions work?
Basic includes 1 revision, Standard includes 2, and Premium includes 3. A revision covers adjustments to the existing scope such as tweaking model parameters, changing visualizations, or fixing bugs. It does not include adding entirely new features or algorithms beyond the agreed scope.
