I will build machine learning regression models for predictive analysis using python
Artificial Intelligence and Machine Learning Professional
About this Gig
I will build a professional machine learning regression model using Python for accurate prediction and data-driven insights. I can work with Linear Regression, Random Forest, XGBoost, Gradient Boosting, Ridge, Lasso, and other regression algorithms. The service includes data preprocessing, feature engineering, model training, hyperparameter tuning, evaluation, and prediction.
Expertise:
Feature learning
•
Decision trees
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Predictive analysis
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
•
Other
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
Colab
•
Other
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What type of regression problems can you handle?
I can handle price prediction, sales prediction, demand prediction, revenue forecasting, and other continuous-value prediction problems.
Which regression algorithms do you use?
I can use Linear Regression, Polynomial Regression, Ridge, Lasso, Elastic Net, Random Forest, XGBoost, Gradient Boosting, and other suitable algorithms.
What data format should I provide?
CSV or Excel files are preferred. Other structured datasets can also be considered.
Do you perform data preprocessing?
Yes. I can handle missing values, outliers, categorical variables, scaling, feature selection, and other preprocessing requirements.
Do you perform feature engineering?
Yes. I can create and select relevant features to improve model performance.
How do you evaluate the regression model?
I can use metrics such as MAE, MSE, RMSE, and R², depending on the project requirements.
Can you compare multiple regression models?
Yes. I can train and compare multiple algorithms and select the most suitable model based on validation performance.
Do you provide hyperparameter tuning?
Yes. I can perform hyperparameter optimization using techniques such as GridSearchCV or RandomizedSearchCV.
Do you provide the Python source code?
Yes. Python source code can be included with the selected package.
Should I contact you before placing an order?
Yes. Please contact me first if you have a large dataset, complex requirements, or a specific regression algorithm you want to use.

