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Machine Learning with Scikit-Learn - Jake Vanderplas
⏲ 56 min 60 sec ✓ 23-Nov-2013
Machine Learning for Everybody – Full Course
⏲ 3 hours 53 minutes 53 seconds 👁 2.4M
Python Tutorial - Python Full Course for Beginners
⏲ 6 hours 14 minutes 7 seconds 👁 19.3M
Getting started with Python and R for Data Science
⏲ 17 min 69 sec ✓ 27-Feb-2018
Python Full Course for Beginners | Complete All-in-One Tutorial | 9 Hours
⏲ 8 hours 38 minutes 56 seconds 👁 192.1K
Python 101: Learn the 5 Must-Know Concepts
⏲ 20 minutes 👁 502.4K
Theano Scan Tutorial
⏲ 7 min 60 sec ✓ 19-Jun-2016
Python for AI #3: How to Train a Machine Learning Model with Python
⏲ 22 minutes 42 seconds 👁 16.1K
New Python Coders Be Like...
⏲ 2 minutes 13 seconds 👁 2.2M
Matrix Division in Python for Data Science || Datatrained
⏲ 2 min 71 sec ✓ 14-Mar-2019
Learn Python - Full Fundamental Course for Beginners | Python Tutorial for Beginners [2019]
⏲ 10 hours 56 minutes 31 seconds 👁 627.2K
Machine Learning in 2024 – Beginner's Course
⏲ 4 hours 19 minutes 33 seconds 👁 83.4K
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_machine-learning-with-scikit-learn-jake-vanderplas.webp "Scikit-learn is a popular Python machine learning library. In this tutorial, I'll give an introduction to the core concepts of machine learning, using scikit-learn to demonstrate applications of these concepts on real-world datasets. We'll cover some of the most powerful and popular supervised and unsupervised learning techniques, including classification and regression models like Support Vector Machines and Random Forests, clustering models like K Means and Gaussian Mixtures, and dimensionalit")
_machine-learning-for-everybody-full-course.webp "freeCodeCamp.org")
_python-tutorial-python-full-course-for-beginners.webp "Programming with Mosh")
_getting-started-with-python-and-r-for-data-science.webp "In this video tutorial, we will take you through some common Python and R packages used for machine learning and data analysis, and go through a simple linear regression model. Also, we will help you set up Python and R on your Windows/Mac/Linux machine, run your code locally and push your code to a Github repository. nnAll commands, scripts, data and URLs to software can be found here: https://code.datasciencedojo.com/rebeccam/tutorials/tree/master/Getting%20StartednnnPrograms/Softwaren·pyth")
_python-full-course-for-beginners-124-complete-all-in-one-tutorial-124-9-hours.webp "Dave Gray")
_python-101-learn-the-5-must-know-concepts.webp "Tech With Tim")
_theano-scan-tutorial.webp "Originally part of my Hidden Markov Models class (30% OFF coupon below):nnhttps://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=30OFFnnThe Theano Scan function is like Theano's way of doing a for-loop.nnIt's the mechanism that will drive your recurrent neural networks (that includes GRUs, LSTMs, Elman units, etc.)nnIn this course I use it to do gradient descent on a Hidden Markov Model.nnThis video shows you the basics of Theano Scan. We'll do 3 examples:")
_python-for-ai-3-how-to-train-a-machine-learning-model-with-python.webp "AssemblyAI")
_new-python-coders-be-like.webp "Mr. P Solver")
_matrix-division-in-python-for-data-science-124124-datatrained.webp "#Data_Science_Course #Datascience #Data_science_Training #Python #Matrix_divisionnOverview: Explore the application of key mathematical topics related to linear algebra with the Python programming language.nExpected Duration:1 Hour 10 Minutes. After completion of this course, you should be able to accomplish the objectives from the following lessons and topics. nLesson Math for Data Science & Machine Learning: n1. Understand how to work with vectors in Pythonn2. Basis and Projection of Vec")
_learn-python-full-fundamental-course-for-beginners-124-python-tutorial-for-beginners-2019.webp "Durga Software Solutions")
_machine-learning-in-2024-beginner39s-course.webp "freeCodeCamp.org")
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