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I will build and optimize machine learning regression models in python
AI and Machine Learning Engineer
Hi! I'm Prathamesh, an AI & Machine Learning Engineer specializing in Python, Generative AI, and Deep Learning.
I build intelligent solutions including AI chatbots, RAG applications, AI agents, machi...
About this Gig
Are you looking for a reliable Machine Learning regression model?
With 2 years of experience in AI, Machine Learning, and predictive analytics, I help transform raw data into meaningful insights using Python.
WHAT I WILL DO:
Data loading and understanding
Data cleaning and preprocessing
Missing value and outlier handling
Feature engineering and selection
Train and compare 7 to 8 regression models
Evaluate models using R², MAE, RMSE, and MAPE
Hyperparameter tuning using GridSearchCV or RandomizedSearchCV
Select and deliver the best-performing model
ALGORITHMS: Linear Regression, Ridge, Lasso, Decision Tree, Random Forest, Gradient Boosting, XGBoost, and CatBoost.
TECHNOLOGIES: Python, Pandas, NumPy, Scikit-learn, Jupyter Notebook, and Google Colab.
WHAT YOU GET:
Clean and organized Python code
Trained model and performance comparison
Model evaluation and optimization
Professional project delivery
I provide end-to-end Machine Learning regression solutions for business, academic, and predictive analytics projects.
Please contact me before ordering to discuss your dataset and requirements!
My Portfolio
FAQ
Do I need to provide my own dataset?
Yes, please provide your dataset in CSV, Excel, or another supported format. If you don't have a dataset, contact me first to discuss your project requirements and available options.
Which regression algorithms will you use?
I can train and compare 7–8 regression algorithms, including Linear Regression, Random Forest, Decision Tree, XGBoost, CatBoost, and Gradient Boosting. The selection depends on your dataset and project requirements.
Do you provide hyperparameter tuning?
Yes! I use GridSearchCV or RandomizedSearchCV to optimize the best-performing regression model and improve its performance based on appropriate evaluation metrics.
What will I receive after project completion?
You will receive the Python source code, Jupyter Notebook, model comparison results, evaluation metrics, and the trained model file. Additional deliverables can be discussed before ordering.
