Machine Learning with NumPy, pandas, scikit-learn, and More

This course equips learners with practical data analysis and machine learning with pandas and other frameworks such as NumPy and TensorFlow.

Intermediate

87 Lessons

15h

Certificate of Completion

This course equips learners with practical data analysis and machine learning with pandas and other frameworks such as NumPy and TensorFlow.

AI-POWERED

Explanations

Adaptive Learning

AI-POWERED

Explanations

Adaptive Learning

This course includes

165 Playgrounds

115 Challenges

8 Quizzes

This course includes

165 Playgrounds

115 Challenges

8 Quizzes

Course Overview

If you're a software engineer looking to add machine learning to your skillset, this is the place to start. This course will teach you to write useful code and create impactful machine learning applications immediately. From the start, you'll be given all the tools that you need to create industry-level machine learning projects. Rather than reading through dense theory, you’ll learn practical skills and gain actionable insights. Topics covered include data analysis/visualization, feature engineering, sup...Show More

Course Content

What you'll learn from this course

Overview

Data Manipulation with NumPy

Introduction

NumPy Arrays NumPy Basics Math Random Indexing Filtering Statistics Aggregation Saving Data Quiz

Data Analysis with pandas

Introduction

Series DataFrame Combining Indexing File I/O Grouping Features Filtering Sorting Metrics Plotting To NumPy Quiz

Data Preprocessing with scikit-learn

Introduction

Standardizing Data Data Range Robust Scaling Normalizing Data Data Imputation PCA Labeled Data Quiz

Data Modeling with scikit-learn

Introduction Linear Regression Ridge Regression LASSO Regression Bayesian Regression Logistic Regression Decision Trees Training and Testing Cross-Validation Applying CV to Decision Trees Evaluating Models Exhaustive Tuning Quiz

Clustering with scikit-learn

10 Lessons

Gradient Boosting with XGBoost

10 Lessons

Deep Learning with TensorFlow

12 Lessons

Deep Learning with Keras

7 Lessons

Course Author

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Part of the Machine Learning Path

Become a Machine Learning Engineer

This Skill Path covers Python fundamentals, machine learning techniques and algorithms through practical exercises, preparing you as a machine learning engineer for real-world applications.

12 Modules

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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