Anaconda Install Jupyter Notebook Linux Courses
Step ahead in your Python career and learn about PEP8, Unit-Testing (TDD), Type Annotations and Python Packaging.
Rating: 4.75962
Learn Python Programming in an easy way with examples and Practical Implementation using Spyder(a IDE for Python).
Rating: 4.54545
This course is a Great Practice to both fundamental python programming concepts and the Flask Framework by demonstration
Rating: 4.48026
This course is a depth introduction to fundamental python programming concepts by demonstrations in Python programming .
Rating: 4.42941
Learn to create Machine Learning Algorithms in Python # Introduction to Data Science and Machine Learning [Step by Step]
Rating: 4.35
Python: data types, variables, strings, manipulating strings, user input, conditionals, if/elif/else statements and more
Rating: 4.30769
This course is a depth introduction to both fundamental python programming concepts and the Python programming language.
Rating: 4.3062
Learn Python, Numpy, Pandas, Matplotlib, Linear Regression, Algebra, Statistics, Calculus, Projects & Data Visualisation
Rating: 4.30357
Desenvolva estratégias de investimentos automatizadas a partir da API IQ Option
Rating: 4.26316
Now write your Python Code Snippets directly in HTML - Taking Web Development to a whole new Level !
Rating: 4.23529
Learn to create Machine Learning Algorithms in Python from two Data Science Experts [ Step by Step Guidance ]
Rating: 4.2
This course helps you to derive meaning out of huge data with help of ML and Python
Rating: 4.15
Learn the skills to become a Data Scientist [ Data Science A - Z ]
Rating: 4.1
Learn to use Sublime Text for Text Editing, Web Development and Python Development to its Full Potential
Rating: 3.95
Learn all basics of HCI with real word examples & Machine Learning
Rating: 3.7
Learn All the Skills to Become a Data Scientist [ Machine Learning,Deep Learning, CNN, DCGAN, Python, Java, Algorithms]
Rating: 3.6
Learn data analytics by doing projects, python from 0 to intermediate, pandas, scipy, sklearn and multiple projects
Rating: 3.45
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