I will do data science, machine learning and predictive analytics in python
Microsoft Fabric, Power BI, Data Analytics, AI Solutions
About this Gig
Need a reliable Data Science and Machine Learning solution for your business data?
I build end-to-end Data Science, Machine Learning, and Predictive Analytics solutions in Python, from raw data preparation to reliable predictions and deployable ML models.
What I can provide:
Data cleaning and preprocessing
Exploratory Data Analysis (EDA)
Feature engineering and feature selection
Classification and regression models
Predictive modeling and forecasting
Customer churn and risk prediction
Clustering and anomaly detection
Model evaluation, tuning, and optimization
Python, Pandas, Scikit-learn, SQL, and MLflow
Model deployment and MLOps workflows
Prediction outputs for Power BI and business applications
I focus on complete, business-ready ML solutions rather than simply training a model.
Please message me before ordering so I can review your dataset, prediction goal, and project requirements.
Programming language:
Python
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SQL
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Colab
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MLflow
Frameworks:
Scikit-learn
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PyTorch
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Panda
Tools:
Jupyter Notebook
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Excel
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MLflow
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Colab
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Azure ML Studio
FAQ
What do you need from me to get started?
Please provide your dataset, project objective, target prediction, and any specific requirements. If you are unsure which ML approach is suitable, I can review your data and recommend the best solution.
Can you work with messy or unprocessed data?
Yes. I can clean, preprocess, transform, and prepare your data, perform EDA and feature engineering, and make it suitable for machine learning and predictive analytics.
Will I receive the source code and trained model?
Yes. You will receive clean source code, the trained model, evaluation results, predictions, and documentation according to your selected package
Can you deploy or integrate the machine learning model?
Yes. Premium or custom projects can include deployment-ready code, API integration, model deployment, MLflow/MLOps setup, and basic monitoring depending on your requirements.
