113 Open source projects that are alternatives of or similar to Machine-Learning-Algorithms-From-Scratch

Learn advanced data science on real-life, curated problems

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Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here …

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SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

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Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

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Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

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Telegram notification with IPython magics.

Go through the readme... fork ....add....send a pull request .... get yourself in the contribution list...Plant the tree

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

This repository contains implementations of some basic sampling methods in numpy.

Instructional notebooks on music information retrieval.

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A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Code and Examples for Relevant Search

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Code and data for myeu.uk - find out what the EU has done for your area

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Jupyter/IPython notebooks about evolutionary computation.

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Modelica In Action

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Pytest in IPython notebooks.

An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."

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Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

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