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Fiverr Pro
English
$
USD
I will build exploratory data analysis with visualizations
Saif
About this gig
"The service is provided by a minor(Anas Obaid) under an account owned by Saifullah, legal guardian of Anas, and managed by them."
Anyone can paste a question into ChatGPT and get a generic answer about machine learning. What I actually deliver is different: a working, verified model built on your specific dataset cleaned, tested, and explained in plain language, not just code.
What I actually do (and why it's not just "AI can do this"):
- Clean and preprocess your real data handling the messy stuff (missing values, inconsistent formats, encoding) that generic AI advice can't do for you automatically
- Exploratory Data Analysis (EDA) with visualizations that actually reflect your data's patterns, not generic examples
- Build and evaluate classification models (Logistic Regression, KNN, Random Forest) using scikit-learn
- Tune models properly with GridSearchCV/RandomizedSearchCV and validate with cross-validation so results are reliable, not lucky
- Choose the right evaluation metric for your actual problem (e.g., prioritizing recall over raw accuracy for medical/risk-related predictions) and explain why that choice matters for your use case
- Deliver a clean, well-commented notebook.
Get to know Saif
Saif
Aspiring ML Engineer With Python and scikit learn
- FromPakistan
- Member sinceAug 2026
- Avg. response time1 hour
Languages
Urdu, Hindi, English
"I will clean and preprocess your dataset for machine learning.
I will do exploratory data analysis and visualization in Python.
I will build and evaluate a classification and regression model using scikit-learn."
"The service is provided by a minor under an account owned by Saifullah Khalid(his Uncle), legal guardian of Anas, and managed by them."
GitHub: https://github.com/anasobaidrahman
My Portfolio
FAQ
What Machine Learning tasks do you specialize in?
I specialize in tabular data projects, including binary and multi-class classification, regression, customer churn prediction, medical diagnosis modeling, and predictive analytics.
What machine learning frameworks and libraries do you use?
I primarily work with Python using Scikit-Learn, Pandas, NumPy, Matplotlib, and Seaborn. I build modular, reproducible pipelines to prevent data leakage and ensure accurate results.
What deliverables will I receive when the order is complete?
Depending on your package, you will receive: Clean, well-commented Jupyter Notebooks (.ipynb). Modular Python scripts (.py) for reusable code. Visual plots (ROC Curves, Confusion Matrices, Feature Importance). Model evaluation metrics report (Accuracy, Precision, Recall, F1-Score, AUC-ROC).
How do you handle noisy, missing, or unstructured data?
I perform thorough Exploratory Data Analysis (EDA), handle missing values appropriately, encode categorical features, scale numerical data using robust techniques, and ensure no data leakage occurs during feature transformation.
Can you explain how the model reached its decisions?
Yes! I use feature importance analysis and model interpretation techniques (such as logistic regression coefficients and tree-based feature importances) so you can clearly understand which variables drive predictions.
Do you tune hyperparameters to get the best model performance?
I use GridSearchCV and RandomizedSearchCV with cross-validation to optimize hyperparameters and improve performance without overfitting.
