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17 search results found

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Flatiron School Data Science Curriculum Resources ⭐ 75

Lesson material on data science and machine learning topics/concepts

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Image Classifier ⭐ 53

Final Project of the Udacity AI Programming with Python Nanodegree

Simple Linear Regression Notebook ⭐ 35

Simple demo of linear regression built with numpy in a jupyter notebook.

First-order optimization tools

Introdlpython ⭐ 22

This repository is updated by a number of introductory projects to deep learning with Python.

Adam Vs Sgd Numpy ⭐ 14

A 3-layer neural network with SGD and Adam optimizers built from scratch with numpy.

Computer Vision And Image Processing ⭐ 11

Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

Gradientdescent_implementation ⭐ 8

Implement different variants of gradient descent in python using numpy

A Minimalist Machine Learning Library written in Swift

Neural network from scratch in Python using Numpy

Awesome Optimizers ⭐ 7

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

Logistic_regression_numpy ⭐ 6

A logistic regressor class written in python, with the testing code against an example dataset.

Exercise Breast Cancer ⭐ 5

Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.

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