Numpy

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PyTorch Basics for Machine Learning (edX)

Self Paced
PyTorch Basics for Machine Learning (edX)
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This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong [...]
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Analyzing Data with Python (edX)

Self Paced
Analyzing Data with Python (edX)
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In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
1
Average: 1 ( 2 votes )

Basic Data Analysis and Model Building using Python (Coursera)

By the end of this project learners will be able to perform data ingestion using Pandas and Numpy, preprocess and visualize the data using Matplotlib and Seaborn. Learners will also build a binary classification model using Scikit-Learn. Additionally, learners will be introduced to other data science concepts and techniques [...]
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Python for Data Science, AI & Development (Coursera)

Apr 19th 2021
Python for Data Science, AI & Development (Coursera)
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Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business [...]
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Introduction to Data Science in Python (Coursera)

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and [...]
5
Average: 5 ( 3 votes )

Data Processing Using Python (Coursera)

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to [...]
8
Average: 8 ( 3 votes )

Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)

Self Paced
Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)
Free Course
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Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy Stack in Python (V2). The reason I made this course is because there is a huge gap for many students between machine learning "theory" and writing actual code. As I've always said: "If you can't implement [...]
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Intro to Data Analysis (Udacity)

Self Paced
Intro to Data Analysis (Udacity)
Free Course
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Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib. This course will introduce you to the world of data analysis.
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Intro to Python for Data Science (Springboard)

Work with a real-world dataset and build foundational data science skills. Build foundational data science skills by working through a real-world case study using a real data set from Yelp. This self-paced course is designed for people with some experience programming in Python, but who want to learn more [...]
5
Average: 5 ( 1 vote )