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I will machine learning models for classification and regression
About this Gig
Welcome to my Machine Learning Gig!
Looking for accurate predictive models? I specialize in building end-to-end Machine Learning pipelines in Python, focusing on Classification and Regression models to solve your data challenges.
What I Offer:
- Data Preprocessing: Cleaning, handling missing values, scaling, and feature encoding.
- Classification Models: Churn prediction, loan approval forecasting, and binary/multiclass tasks using Logistic Regression and Decision Trees.
- Regression Models: Predictive systems for sales, trends, and continuous values forecasting.
- Model Optimization: Hyperparameter tuning and detailed evaluation (Accuracy, Precision, Recall, F1-Score).
- Flask API Integration: Saving models (.pkl) and building custom Flask APIs to connect your ML backend with web apps.
Tools & Frameworks: Python, Scikit-learn, Pandas, Jupyter Notebook, Google Colab, and Flask.
Why Choose Me?
- Clean, documented, and scalable Python code.
- Reliable delivery and full source code inclusion.
Please contact me before placing an order to discuss your dataset!
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What format should my dataset be in?
Answer: I can work with almost any standard data format, including CSV, Excel sheets (XLSX), JSON, or direct SQL database dumps. If your data is unstructured, please message me first so we can discuss the best approach.
Will you provide the source code and the trained model file?
Yes, absolutely! I provide the complete Python source code (Jupyter Notebook or .py scripts) along with the saved model file (.pkl or .joblib format) and the Flask API files depending on your package.
Can you integrate the machine learning model into a web application?
Yes. I can build a custom Flask API backend to connect your trained classification or regression model with a web UI, allowing users to input data and get real-time predictions.
