salma2vec/ML-Beginner-Portfolio
Kickstart ML through these 20+ foundational projects; Kaggle datasets, problem statements and comprehensive EDA (Exploratory Data Analysis) walkthroughs.
This collection helps aspiring data scientists and machine learning engineers practice core skills. You get practical problem statements, relevant datasets (like X-ray images, movie ratings, or real estate figures), and step-by-step guides for exploring data and building models. It's designed for individuals looking to build a portfolio of hands-on machine learning projects.
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Use this if you are a beginner in machine learning and want to build practical projects to understand concepts and create a portfolio.
Not ideal if you are an experienced machine learning practitioner looking for advanced research problems or ready-to-deploy solutions.
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8
Forks
2
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Nov 05, 2023
Commits (30d)
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