Introduction to Machine Learning & Python for ML

Free

Beginner

8h

10 lessons

Master the fundamentals of supervised and unsupervised learning while building proficiency with essential Python libraries like NumPy, Pandas, and Scikit-learn for data manipulation and modeling.

Machine Learning

Python

Supervised Learning

Unsupervised Learning

Scikit-learn

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Lessons

1

ML Demystified: Types & Real-World Applications

60 min

2

Data Visualization with Matplotlib, Seaborn & Plotly

60 min

3

NumPy Power: Arrays, Matrices, & Fast Computations

60 min

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Introduction to Machine Learning & Python for ML

Free

Beginner

8h

10 lessons

Master the fundamentals of supervised and unsupervised learning while building proficiency with essential Python libraries like NumPy, Pandas, and Scikit-learn for data manipulation and modeling.

Machine Learning

Python

Supervised Learning

Unsupervised Learning

Scikit-learn

Sign In Required

Create an account or sign in to access the lesson content

Sign Up Sign In

Lessons

1

ML Demystified: Types & Real-World Applications

60 min

2

Data Visualization with Matplotlib, Seaborn & Plotly

60 min

3

NumPy Power: Arrays, Matrices, & Fast Computations

60 min

4

Data Manipulation with Pandas

60 min

5

Hands-On #1

60 min

6

Quiz #1

7

Model Training with Scikit-learn

60 min

8

Learning Paradigms: Supervised & Unsupervised Strategies

60 min

9

Hands-On #2

60 min

10

Introduction to Machine Learning & Python for ML

Lessons

ML Demystified: Types & Real-World Applications

Data Visualization with Matplotlib, Seaborn & Plotly

NumPy Power: Arrays, Matrices, & Fast Computations

Introduction to Machine Learning & Python for ML

Lessons

ML Demystified: Types & Real-World Applications

Data Visualization with Matplotlib, Seaborn & Plotly

NumPy Power: Arrays, Matrices, & Fast Computations

Data Manipulation with Pandas

Hands-On #1

Quiz #1

Model Training with Scikit-learn

Learning Paradigms: Supervised & Unsupervised Strategies

Hands-On #2

Quiz #2