75 Data Science & ML Projects to Master

Master data science and machine learning by building 75 impactful projects that enhance your skills and portfolio.

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A new way to learn

Combine the power of AI with expert-curated content for a personalized learning experience

Curated content

Selected resources from platforms like YouTube, the best posts, and more

AI-Powered

Personalized content using advanced AI to adapt to your learning style and pace

Interactive notes

Take notes, highlight key concepts, and create your own study materials

Visual learning

Watch video tutorials and visualize concepts through interactive diagrams

What You'll Learn

How to build and deploy machine learning models
Techniques for data cleaning and preprocessing
Methods for data visualization and interpretation
Real-world applications of data science
Best practices for project documentation and presentation

Course Content

12 topics

Introduction to Data Science
Preview
Data Preparation and Preprocessing
Preview
Exploratory Data Analysis (EDA)
Preview

Requirements

• Basic understanding of Python programming
• Familiarity with data manipulation libraries (Pandas, NumPy)
• Knowledge of machine learning concepts
• Access to a computer with internet
• Willingness to learn and experiment

Target Audience

Aspiring data scientists, machine learning enthusiasts, and professionals looking to enhance their skills through practical projects.

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