Machine Learning Internship - 6 weeks
Learn a practical machine learning workflow from data preparation to model evaluation. A balanced foundation covering core skills, regular practice, and two guided projects.
Location
Remote
Duration
6 weeks
Program duration
Choose a duration that fits your goals
Pick the program length that matches your experience, learning pace, and goals.
About the role
Work with structured datasets in Python and learn how a machine learning task moves from a clear problem statement to a tested result. Interns clean and explore data, build baseline models, compare evaluation metrics, and explain findings in notebooks and short reports. The focus is practical analysis and responsible interpretation, not unsupported claims about artificial intelligence.
Real projects
Work on real tasks with guidance from the team.
What you'll do
You will work on assigned tasks, ask questions, receive feedback, and improve your delivery habits over time.
Prepare and explore structured datasets
Build reproducible analysis notebooks
Train and compare baseline machine learning models
Evaluate results with suitable metrics
Requirements
Review the required skills, preferred skills, education level, deadline, and profile requirements before applying.
Required skills
Basic knowledge of Python syntax, functions, lists, and dictionaries
Comfort with school-level mathematics, percentages, and simple statistics
Ability to work carefully with tables, spreadsheets, or CSV files
What you'll learn
Build useful skills through assigned tasks, feedback, and team guidance.
Data Preparation
Clean and organize structured data before building a model
Internship benefits
These benefits apply across Appverse internship programs.
Flexible Work Options
Work remotely or from the office when available.
Application process
See what happens after you submit your application.
Apply online
Submit your application through the Appverse portal with a complete profile.
Application review
Our team reviews your profile, eligibility, and application details.
Onboarding
Shortlisted candidates complete onboarding and required documents.
Ready to apply?
Review the details, check the requirements, and submit your application through the portal. Selected applicants are contacted for onboarding before enrollment.
Make sure your profile is complete before you apply. You can track your status from the Applications page after submission.
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