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I will build machine learning models and predictive analytics in python
Data Science and ML Expert
Data Scientist with 4+ years of experience in machine learning, statistical modelling, and predictive analytics using Python and R. Skilled in data cleaning, visualisation, and building models for for...
About this Gig
Do you have a dataset and need predictions, classification or forecasting?
At KYVORNE, we help businesses, startups, researchers and professionals turn data into practical machine learning and predictive analytics solutions using Python.
Our workflow:
DATA PREPROCESSING MODEL EVALUATION PREDICTION & INSIGHTS
We can help with:
- Machine learning & predictive modeling
- Classification & regression
- Forecasting & time series analysis
- Data preprocessing & feature engineering
- Model training, evaluation & comparison
- Cross-validation & hyperparameter tuning
- Neural networks & deep learning where appropriate
We use Python, Pandas, NumPy, Scikit-learn and Matplotlib, applying suitable models such as Linear Regression, Logistic Regression, Random Forest, Decision Trees, SVM, KNN and XGBoost where appropriate.
You can receive:
- Cleaned/preprocessed data
- Python/Jupyter Notebook
- Trained ML model
- Evaluation metrics & visualizations
- Predictions/forecasts
- Clear explanation of results
Model performance depends on your data, objective and evaluation results, so we never guarantee specific accuracy.
Send us your dataset and requirements, and let's build a machine learning solution tailored to your needs.
FAQ
What types of machine learning projects do you handle?
We work with classification, regression, prediction, forecasting and other suitable machine learning problems.
What programming language do you use?
We primarily use Python with libraries such as Pandas, NumPy, Scikit-learn and Matplotlib.
Can you build a model from my Excel or CSV dataset?
Yes. We can preprocess your dataset and develop an appropriate machine learning model based on your objective and data.
Do you compare multiple machine learning models?
Yes. Standard and Premium packages can include model comparison to help identify a suitable approach based on evaluation results.
Can you do forecasting?
Yes. We can work on suitable time-series forecasting and prediction problems depending on the structure and quality of your historical data.
Do you guarantee a specific accuracy?
No. Model performance depends on the dataset, features, target variable and evaluation methodology. We report the actual evaluation results rather than guaranteeing a specific accuracy.
Can you do deep learning?
Yes, where appropriate. Deep learning projects should be discussed before ordering because their complexity and computational requirements can vary significantly.
Will I receive the Python code?
Yes. A Python/Jupyter Notebook is included according to the selected package.
Can you explain the model results?
Yes. We provide explanations of the methodology, evaluation results and relevant predictions or insights.
Do you complete academic assignments or exams?
We can assist with legitimate research, data analysis and machine-learning work, but we do not complete exams or academic work intended to be submitted as someone else's work
