I will build machine learning models with eda, preprocessing and evaluation in python
About this Gig
Hi
I am a Machine Learning practitioner with hands-on experience in data preprocessing, exploratory data analysis (EDA), feature engineering, and building regression & classification models using Python.
I help students, beginners, and early-stage projects by delivering clean, well-structured machine learning solutions with proper testing and evaluation.
My approach focuses on understanding the data, selecting meaningful features, testing models carefully, and improving performance using basic fine-tuning techniques.
What I Will Do:
Data preprocessing (missing values, encoding, scaling)
Exploratory Data Analysis (EDA) with visual insights
Feature engineering & feature selection
Regression & classification models
Model testing & evaluation (Accuracy, MAE, MSE, RMSE, R²)
Basic fine-tuning for better results
Clean Python code (Jupyter Notebook)
Clear explanation & documentation
Models I Work With:
- Linear Regression
- Logistic Regression
- KNN
- Decision Tree
- Random Forest
Tools:
Python | Pandas | NumPy | Matplotlib | Seaborn | Scikit-learn
Please message me before placing an order to discuss your requirements clearly.
FAQ
What information do you need to start the project?
I need the dataset and a brief description of the problem or expected output.
Do you work on regression and classification problems?
Yes, I work on both regression and classification machine learning models.
Will you explain the code and results?
Yes, I provide clear explanations of the approach, code, and evaluation results.
Do you provide source code?
Yes, clean and well-documented Python source code is included.
Do you offer deployment or cloud services?
No, I currently focus on model building, evaluation, and analysis only.
Can you work with student or beginner projects?
Yes, I specialize in student-level and beginner-friendly machine learning projects.
