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I will build high accuracy machine learning model in python
Data Scientist, Machine Learning and AI App Developer
If your data's stuck in Excel with no clear story, you're losing time and missing decisions. I'm a Data Scientist (MS in Machine Learning) helping businesses turn raw data into clean analysis, predict...
About this Gig
Struggling with low accuracy machine learning models or code that works in notebook but fails in real scenarios?
I build high accuracy machine learning models in Python that are properly validated, optimized, and ready for real use. Whether you need regression, classification, or forecasting, I focus on performance, clean architecture, and reliable results.
My workflow includes structured data preprocessing, feature engineering, model comparison, hyperparameter tuning, and cross validation to avoid overfitting. You receive clean, well organized Python code, performance metrics, and a model you can confidently present or deploy.
I work with startups, researchers, and businesses who need serious predictive modeling, not academic level scripts.
Message me before ordering so I can review your dataset and suggest the right modeling strategy.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
Colab
My Portfolio
FAQ
What do you need from me to start the machine learning project?
I need your dataset in CSV, Excel, or database format along with a clear explanation of your target variable and objective. Tell me whether you want prediction, classification, or forecasting and how you plan to use the model. The clearer your goal, the better the model performance.
How do you ensure high accuracy in the machine learning model?
I do not rely on a single algorithm. I perform proper data preprocessing, feature engineering, model comparison, and hyperparameter tuning. I use cross validation and relevant metrics such as accuracy, F1 score, RMSE, ROC AUC depending on the problem type. The goal is strong generalization, not just
Will I receive the full Python source code?
Yes. You will receive clean, well structured Python code using libraries like pandas and scikit learn. The code is documented and easy to understand so you can reuse or extend it later.
Can you deploy the model as an API or web application?
Yes. I can integrate the trained machine learning model into a Flask based API or a simple web application. Deployment to cloud platforms can also be included in the Premium package.
What if my dataset is messy or incomplete?
No problem. Data preprocessing is part of the workflow. I handle missing values, encoding, scaling, feature selection, and outlier handling before model training. If the dataset has serious structural issues, I will inform you before proceeding.
Do you guarantee 100 percent accuracy?
No serious machine learning engineer guarantees 100 percent accuracy. What I guarantee is a properly validated, optimized model with transparent metrics and realistic performance expectations based on your data.
Can you help with academic or research based machine learning projects?
Yes. I can assist with research oriented machine learning tasks including structured experimentation, model comparison, and proper documentation of methodology and results.
