Browse categories
Explore
Fiverr Pro
English
$
USD
I will train, test, and optimize machine learning models in python
Clean, Analyze, and Visualize Your Data in One Solution
I provide a complete ALL-IN-ONE Data Solution to clean, analyze, visualize, and transform your data into actionable insights. I handle missing values, duplicates, errors, perform trend analysis and KP...
About this Gig
I will perform complete data analysis and build machine learning models to help you make accurate, data-driven predictions using Python, pandas, and scikit-learn.
From data cleaning, exploratory data analysis (EDA), and handling missing values to training ML models and deploying them with Flask or FastAPI, I provide end-to-end machine learning solutions tailored to your needs.
What Youll Get:
- In-depth data analysis with visualizations and summary insights
- Outlier detection and missing value treatment
- ML model training (Regression & Classification tasks)
- Advanced models: XGBoost, Random Forest, SVM, and more
- Hyperparameter tuning and model evaluation (cross-validation)
- API deployment using Flask or FastAPI (Gold Package only)
- Final Deliverables: Jupyter Notebook, trained model file (.pkl/.joblib), or detailed PDF report
Technology:
Excel
•
Google Sheets
•
Python
•
SQL
FAQ
Q: What kind of data can you work with?
A: I can work with structured datasets such as CSV, Excel, JSON, or SQL databases. Whether it's sales, healthcare, marketing, finance, or other domains — I can help clean, analyze, and model your data.
Q: What machine learning models do you use?
A: I use popular ML models such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, Support Vector Machines (SVM), KNN, and more — depending on your data and goals.
Q: What tools and libraries do you use?
A: I primarily use Python with libraries such as pandas, NumPy, matplotlib, seaborn, scikit-learn, XGBoost, and for deployment: Flask or FastAPI.
Q: Will you explain the results to me?
A: Absolutely! I will provide clear visualizations, summary reports, and explanations of the model results so you understand what the model is doing and what the predictions mean.
Q: Can you deploy the model as an API?
A: Yes, in the Gold Package, I offer API integration using Flask or FastAPI so your model can be used in applications or websites.
Q: Will I receive the source code and model files?
A: Yes, I will deliver the full Jupyter Notebook, trained model file (.pkl or .joblib), and any additional files such as reports or visualizations — based on your selected package.
Q: Can you handle missing values and outliers?
A: Yes, I will identify and treat missing data and outliers using best practices to ensure your dataset is clean and ready for modeling.
