Luis Angel Mendoza Velasco (@LuisAngelMendozaVelasco)
github

LuisAngelMendozaVelasco

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  • Stars
    star
    17
  • Global Rank 708,350 (Top 25 %)
  • Followers 6
  • Following 30
  • Registered over 8 years ago
  • Most used languages
    Jupyter Notebook
         88.9 %
    HTML
         11.1 %
  • Location 🇲🇽 Mexico
  • Country Total Rank 4,844
  • Country Ranking
    Jupyter Notebook
         73
    HTML
         1,976

Top repositories

1

Lugiato-Lefever_Equation_Solver

Lugiato-Lefever Equation Solver
Jupyter Notebook
9
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2

MATLAB_Courses

Self-Paced Online Courses from MathWorks
HTML
1
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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
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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
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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
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6

Machine_Learning_Specialization

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.
Jupyter Notebook
1
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7

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
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8

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
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9

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.
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1
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