Browse categories
English
$
USD
Connect to your AI
I will build a machine learning model in python with evaluation report
Data Scientist, Machine Learning and AI App Developer
I'm Yousaf Khan, a Data Scientist & ML Engineer (MS Computer Science, ML specialization) with 9+ years of professional experience working with data (since 2017). I turn raw data into decisions with Py...
About this Gig
I build machine learning models that are honest about their performance with the right metrics for your problem, not vanity accuracy. Includes: data preparation, model training (classification, regression, clustering), evaluation with proper metrics and a train/test split, and a clear report explaining the results and their limits. Example: credit-card fraud detection XGBoost, ROC-AUC 0.9968, fraud recall 79%, precision 69%. Tools: Python, scikit-learn, XGBoost, pandas.
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.
