CATEGORY: Development > Data Science > Machine Learning

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

Rank

4.6

Students

578,802

Reviews

120,883

Duration

24h 54m

Last Update

5/2020

What you will learn

  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines

Who should take this course?

  • This course is meant for people with at least some programming experience

Prerequisites

  • Some programming experience
  • Admin permissions to download files
Data Science and Machine Learning

This course includes

  • 25 hours on-demand video
  • 13 articles
  • 5 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Enroll Now…