• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created about 2 years ago
  • Updated 9 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program teaches the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

More Repositories

1

Lugiato-Lefever_Equation_Solver

Lugiato-Lefever Equation Solver
Jupyter Notebook
9
star
2

MATLAB_Courses

Self-Paced Online Courses from MathWorks
HTML
1
star
3

Deep_Learning_Specialization

The Deep Learning Specialization from DeepLearning.AI is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
Jupyter Notebook
1
star
4

Mathematics_for_Machine_Learning_and_Data_Science_Specialization

This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works.
Jupyter Notebook
1
star
5

Data_Science_Fundamentals_with_Python_and_SQL_Specialization

This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.
Jupyter Notebook
1
star
6

Applied_Data_Science_with_Python_Specialization

This Specialization from University of Michigan will introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Jupyter Notebook
1
star
7

Applied_Software_Engineering_Fundamentals_Specialization

This specialization explores fundamental programming principles and foundations of design, architecture, and deployment; the software development lifecycle; Git and GitHub repositories; using the Linux terminal and creating Bash shell scripts to automate a variety of tasks; and coding with the Python programming language.
Jupyter Notebook
1
star
8

IBM_Introduction_to_Machine_Learning_Specialization

This Specialization from IBM will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science.
Jupyter Notebook
1
star