Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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Updated
Apr 25, 2023 - Jupyter Notebook
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)
Convert Jupyter (IPython) Notebooks to static HTML
A simple tutorial of wavelet, STFT and FFT
Jupyter Notebook for KNN Algorithm.
Python BootCamp
Where and how to use decorators in python.
CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR
NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami
An app for macOS that launches and displays jupyter lab. No need to keep terminal open for that anymore!
Naive Bayes (From Scratch)
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
In this project, we will be working on extracting text from images. After extracting the text we will apply some basic functions of opencv on that text to enhance it and to get more accurate results. This project will be very useful as it will save time and effort of typing from an image.
Examples of linear regression.
This Dog Breed Classification model employs TensorFlow 2.0 and Transfer Learning with ResNet50v2 to accurately identify 70 different dog breeds from images, demonstrating the power of deep learning in image classification tasks.
Collection of data science projects. Each sector takes to kaggle page where you can find the codes along with explanations and analysis.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release about 2 months ago