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I will build linear and logistic regression models using your CSV dataset
About this Gig
Do you need a machine learning model built using your CSV dataset?
I will help you build and evaluate a Linear Regression or Logistic Regression model using Python and Scikit-learn, based on your project requirements.
What I can help you with:
- Build Linear Regression models for numerical prediction.
- Build Logistic Regression models for classification tasks.
- Load and explore your CSV dataset using Pandas.
- Handle basic missing values and prepare data for modeling.
- Split data into training and testing sets.
- Train and evaluate the model using appropriate metrics.
- Create useful visualizations to understand the results.
- Provide clean, understandable Python code and a summary of the results.
Tools and technologies:
Python, Pandas, NumPy, Scikit-learn, Matplotlib and Seaborn, as needed.
What you will receive:
- Python source code.
- A trained and evaluated model workflow.
- Relevant performance metrics and visualizations, where applicable.
- A brief explanation of the approach and results.
Why work with me?
I focus on clear communication, organized code, and practical machine learning solutions tailored to your dataset.
Please contact me before ordering if you are unsure which regression model fit
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Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Panda
•
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
Colab
•
Other
My Portfolio
FAQ
Q: What do you need from me to start?
Please provide your CSV dataset, your prediction or classification goal, and any specific requirements or evaluation metrics you want.
Q: Which model should I choose?
Linear Regression is suitable for predicting numerical values, such as sales or spending. Logistic Regression is suitable for classification, such as predicting whether a customer will purchase a product.
Q: Can you work with an unclean dataset?
Yes, I can help with basic data preparation, such as handling missing values and preparing features. Extensive data cleaning or complex preprocessing may require a custom offer.
Q: Will you provide the source code?
Yes. Your selected package includes the Python source code for the agreed work.
Q: Do you guarantee a specific model accuracy?
No. Model performance depends on the dataset, its quality, the available features, and the prediction task. I will evaluate the model using appropriate metrics and report the results honestly.
Q: Can you build both Linear Regression and Logistic Regression models?
Yes, the Premium package covers both models when they are appropriate for your task. Please contact me first to confirm your requirements.
Q: Can you deploy the model as an API or web application?
API development and deployment are not included in the standard packages. Please contact me to discuss a separate custom offer.
