Numerical analysis software for Linux
SciPy (pronounced /ˈsaɪpaɪ/ "sigh pie") is a free and open-source Python library used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. SciPy is also a family of conferences for users and developers of these tools: SciPy (in the United States), EuroSciPy (in Europe) and SciPy.in (in India). Enthought originated the SciPy conference in the United States and continues to sponsor many of the international conferences as well as host the SciPy website. The SciPy library is currently distributed under the BSD license, and its development is sponsored and supported by an open community of developers. It is also supported by , a community foundation for supporting reproducible and accessible science. (Wikipedia).
Machine Learning with scikit learn Part Two | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram
Tutorial materials found here: https://scipy2017.scipy.org/ehome/220975/493423/ Machine learning is the task of extracting knowledge from data, often with the goal of generalizing to new and unseen data. Applications of machine learning now touch nearly every aspect of everyday life, fro
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Machine Learning with scikit learn Part One | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram
Machine learning is the task of extracting knowledge from data, often with the goal of generalizing to new and unseen data. Applications of machine learning now touch nearly every aspect of everyday life, from the face detection in our phones and the streams of social media we consume to
From playlist talks
User test of JupyterLab. User test script: https://docs.google.com/document/d/1gp4icQH3XRf627I1C3moQCr1Uv2RGUev6V0Mi3g3bMc/edit?usp=sharing
From playlist SciPy 2016 User Tests
In the world of chemistry, an "organic" compound is often described as anything with carbon in it, and "organic chemistry" is the study of carbon compounds, but there is actually no single definition of what "organic" means in chemistry, and scientists have been arguing about it for a long
From playlist Uploads
A bit of data science and scikit learn introduction. In this series we learn a bit of data science and a whole lot of scikit learn! Scikit learn is the machine learning practitioner's toolkit and has all the tools that you will need to build a highly functional machine learning applicatio
From playlist A Bit of Data Science and Scikit Learn
User test of Jupyter's website. User test script: https://docs.google.com/document/d/1a5DzKPJvtOLu5Sd5adBaTcU0btW22Tj9-AHipGYS7Lc/edit?usp=sharing
From playlist SciPy 2016 User Tests
Scikit Learn Machine Learning Tutorial for investing with Python p. 16
In this machine learning tutorial video, we cover how to add data from another data set, Quandl, to our existing set. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avC
From playlist Scikit-learn Machine Learning with Python and SKlearn
Introduction to Python SciPy | Python SciPy Tutorial For Beginners | Edureka | Python Rewind - 3
🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka video on 'Introduction to Python SciPy' will help you get started with Python SciPy Library. 🔹Python Tutorial Playlist: https://goo.gl/WsBpKe 🔹Blog Series: http://bit.ly/2
From playlist Edureka Live Classes 2020
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Representing multivariate random signals using principal components. Principal component analysis identifies the basis vectors that describe the la
From playlist Random Signal Characterization
🔥 FREE Data Science With Python Course With Completion Certificate | SkillUp | Simplilearn
This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques. Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing. This program is
From playlist Free SkillUp Courses By Simplilearn
Let's Build Something Together - EDU Valentine
No experience is necessary, but some assembly may be required. Welcome! We are a hands-on STEM channel. We explore physics, sensors, robotics, rovers, chemistry, science museums, and STEM competitions just to name a few. Let us know a bit about you in the comments below. We look forward
From playlist Who Is Your Educational YouTuber?
Top 5 Python Libraries For Data Science | Python Libraries Explained | Python Tutorial | Simplilearn
🔥Professional Certificate Program In Data Science: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=PythonLibraries-8OixQrWRiXo&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-scie
From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]
Top 10 Python Libraries For Data Science | #python #datascience #programming
Don’t forget to subscribe! Top 10 Python Libraries For Data Science. This Python tutorial is about the top 10 Python libraries for data science. Python is the most widely used programming language today. It is easy to learn & debug, widely used, object-oriented, open source, high-perform
From playlist Programming Tutorials
🔥FREE Data Science With Python Course | Learn Data Science For FREE | SkillUp | Simplilearn
🔥Enroll for Free Data Science Course & Get Your Completion Certificate: https://www.simplilearn.com/getting-started-data-science-with-python-skillup?utm_campaign=DSwithPythonSkillupIntro&utm_medium=Description&utm_source=youtube This free data science with Python course video will help yo
From playlist Data Science Course | Simplilearn 🔥[2022 Updated]
V-2: Hierarchical clustering with Python: sklearn, scipy | data analysis | Unsupervised | Discovery
In this super chapter, we'll cover the discovery of clusters or groups through the agglomerative hierarchical grouping technique using the WHOLE CUSTOMER DATA (fresh, milk, grocery, ...) with python JUPYTER NOTEBOOK. Pandas libraries for data manipulation, matplotlib for creation of graph
From playlist Python
11.2.1 Iterpretation and Compilation
MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 11.2.1 Iterpretation and Compilation License: Creative Commons BY-NC-SA
From playlist MIT 6.004 Computation Structures, Spring 2017
Learn. Build. Fail. Make. Share. Repeat.
All of this footage is from projects we've done from college until now. Sometimes they work and sometimes they don't, but we continue to learn and make. Subscribe to join us on our life long journey of building, failing, learning, and making. Thanks to all our friends, family, and communi
From playlist SciJoy Uploads
19. Using pints for units in python
It's critical to keep track of units in scientific computing. Fortunately, python has a few options for tracking and converting units. Here we show you a unit conversion library and the power pint library. We also introduce scipy constants and the molmass library to calculate elemental mol
From playlist Intro to Python Programming for Materials Engineers
Scikit Learn Machine Learning Tutorial for investing with Python p. 24
In this machine learning tutorial video, we cover how to improve and raise the standards of companies that we'd like to invest in. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR
From playlist Scikit-learn Machine Learning with Python and SKlearn
Python for Data Analysis: Probability Distributions
This video covers the basics of working with probability distributions in Python, including the uniform, normal, binomial, geometric, exponential and Poisson distributions. It also includes a discussion of random number generation and setting the random seed. Subscribe: ► https://www.yout
From playlist Python for Data Analysis