I will build machine learning models using python and scikit learn
Machine Learning Engineering Intern
Informazioni su questo servizio
I help clients turn raw, messy data into working machine learning solutions. As a Machine Learning student and intern with hands-on experience across multiple internships, I specialize in building end-to-end ML pipelines using Python and Scikit-learn.
What I offer:
Data cleaning and preprocessing
Exploratory Data Analysis (EDA)
Feature engineering
Regression models (Linear/Logistic Regression)
Classification models (Decision Tree, SVM, Logistic Regression)
Clustering (K-Means)
Recommendation systems
Clean, well-documented Python code
Streamlit web apps for deploying ML models
My work includes projects like a Loan Approval Prediction System (85%+ accuracy using Logistic Regression, Decision Tree, and SVM), an AI-based recommendation engine, and multiple real-world data cleaning tasks.
I focus on clear communication, honest timelines, and delivering exactly what you need no shortcuts, no overpromising. Whether you need a quick data cleaning task or a full ML model built from scratch, I'll treat your project with the same care as my own.
Let's discuss your project message me before ordering if you have specific requirements!
Linguaggio di programmazione:
Python
•
SQL
•
Colab
Framework:
Scikit-learn
Strumenti:
Quaderno jupyter
•
Excel
•
Colab

