machine-learning-from-scratch

Here are 24 public repositories matching this topic...

eriklindernoren / ML-From-Scratch

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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

data-science machine-learning data-mining deep-learning genetic-algorithm deep-reinforcement-learning machine-learning-from-scratch

Updated Jun 28, 2021
Python

hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch

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Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

python machine-learning machine-learning-algorithms machine-learning-from-scratch siraj-raval statistical-concepts

Updated Feb 16, 2020
Jupyter Notebook

safakkbilici / Implementation-and-Optimization

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Implementation of some Machine Learning and Deep Learning algorithms from scratch.

machine-learning machine-learning-from-scratch

Updated Jul 4, 2020
Python

marcofavorito / ml-from-scratch

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Machine Learning algorithms implementation in Python from scratch.

machine-learning machine-learning-algorithms ml regression classification machine-learning-from-scratch machine-learning-tutorials

Updated Feb 10, 2019
Jupyter Notebook

theolepage / prophecy

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A deep neural networks framework similar to Keras and written from scratch in C++/CUDA.

machine-learning neural-network cpp cpp17 machine-learning-from-scratch ml-framework machine-learning-framework meta-project-show meta-project-color-8877f4 meta-project-order-2

Updated Feb 18, 2021
C++

SC4RECOIN / Jeras

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Keras-style machine learning framework for Java

framework keras neural-networks machine-learning-from-scratch neural-networks-from-scratch

Updated Apr 7, 2019
Java

hrshtv / ML-From-Scratch

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Some Machine Learning algorithms implemented by me, mostly from scratch

machine-learning machine-learning-algorithms machine-learning-from-scratch ml-from-scratch

Updated Oct 23, 2020
Jupyter Notebook

shotahorii / bareml

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Machine learning & deep learning implementation from scratch, depending only on numpy.

data-science machine-learning deep-neural-networks deep-learning machine-learning-algorithms statistical-models machine-learning-from-scratch

Updated Dec 2, 2020
Python

caotatcuong / Machine-Learning-from-Scratch

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machine-learning-from-scratch

Updated Apr 20, 2021
Jupyter Notebook

navjindervirdee / machine-learning-from-scratch

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Detailed implementation of various machine learning algorithms from scratch using python language.

python machine-learning linear-regression machine-learning-algorithms jupyter-notebook back-propagation machine-learning-from-scratch linear-regression-with-math

Updated Apr 16, 2019
Jupyter Notebook

inboxpraveen / Machine-learning-from-disaster--Titanic

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This repo makes use of different machine learning regression algorithms to predict the survivals of the titanic disaster.

pipeline random-forest machine-learning-algorithms titanic-kaggle logistic-regression decision-tree-classifier gradient-boosting-classifier svc guassian titanic-survival-prediction machine-learning-from-scratch knn-classification ml-project ada-boost-classifier

Updated May 10, 2019
Jupyter Notebook

nachiket273 / ML_Algo_Implemented

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Bare-bone and simple implementations of few Machine Learning Algorithms

python machine-learning random-forest svm naive-bayes linear-regression pca logistic-regression kmeans gradient-descent decision-trees knn tsne dbscan gradient-boosting machine-learning-from-scratch

Updated May 22, 2020
Jupyter Notebook

IndraP24 / Machine-Learning-Algorithms

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Base NumPy implementations of machine learning models and algorithms from scratch. Aims to cover everything from linear regression to deep learning.

data-science deep-learning machine-learning-algorithms deep-reinforcement-learning neural-networks supervised-learning unsupervised-learning machine-learning-from-scratch

Updated Dec 8, 2020
Jupyter Notebook

pr97 / ScratchNet

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This repository holds one of my first Deep Learning projects. The project implements an MNIST classifying fully-connected neural network from scratch (in python) using only NumPy for numeric computations. For further information, please see README.

python machine-learning deep-learning neural-network numpy fully-connected-network machine-learning-from-scratch

Updated Jun 1, 2018
Python

tinyfacedoge / Machine-Learning-From-Scratch

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Jupyter Notebooks containing implementations of different ML models from scratch and with sklearn

python machine-learning tutorial jupyter machine-learning-algorithms jupyter-notebook jupyter-notebooks machine-learning-from-scratch machine-learning-tutorials

Updated Jul 20, 2020
Jupyter Notebook

shivamchauhan729 / DataScience

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Everything related to Data Science is covered from scratch as well as by using libraries.

machine-learning deep-learning neural-network mathematics statistical-analysis dimensionality-reduction data-analysis data-preprocessing hyperparameter-tuning machine-learning-from-scratch anomaly-detection

Updated Jan 14, 2021
Jupyter Notebook

SoroushGhaderi / Revisiting_a_Concrete_Strength_Machine_Learning_and_Data_Analysis

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Data Analysis and Machine Learning on Concrete Strength

data-science machine-learning algorithms linear-regression data-analysis concrete normalization machine-learning-from-scratch normal-equation scratch-implementation

Updated Sep 27, 2020
Jupyter Notebook

shrijeet7 / MachineLearning_Algorithms_from_Scratch

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This project deals with implementation of various machine learning models from scratch in python( jupyter notebook) without actually importing them from the sklearn library.

linear-regression jupyter-notebook python3 naive-bayes-classifier logistic-regression kmeans-clustering machine-learning-from-scratch iris-dataset knn-classifier