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linear-regression

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Avik-Jain / 100-Days-Of-ML-Code

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100 Days of ML Coding

python machine-learning tutorial deep-learning svm linear-regression scikit-learn linear-algebra machine-learning-algorithms naive-bayes-classifier logistic-regression implementation support-vector-machines 100-days-of-code-log 100daysofcode infographics siraj-raval siraj-raval-challenge

Updated May 14, 2020
Python

nfmcclure / tensorflow_cookbook

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Open

Suggestion for better test_indices

3

ychong commented Feb 8, 2018

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

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enhancement good first issue

BinRoot / TensorFlow-Book

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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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Updated Dec 14, 2019
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zotroneneis / machine_learning_basics

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Plain python implementations of basic machine learning algorithms

python machine-learning algorithm neural-network linear-regression machine-learning-algorithms python3 ipynb neural-networks logistic-regression perceptron kmeans k-nearest-neighbours k-nn k-nearest-neighbor python-implementations

Updated Oct 7, 2019
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cantaro86 / Financial-Models-Numerical-Methods

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Collection of notebooks about quantitative finance, with interactive python code.

python science tutorial topics linear-regression mathematics econometrics nbviewer partial-differential-equations option-pricing quantitative-finance jupyter-notebooks stochastic-differential-equations american-options kalman-filter stochastic-processes monte-carlo-methods financial-engineering financial-mathematics levy-processes heston-model brownian-motion jump-diffusion-mertons-model fourier-inversion linear-systems-equations

Updated May 18, 2020
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jostmey / NakedTensor

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Bare bone examples of machine learning in TensorFlow

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Updated Mar 14, 2017
Python

susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Jun 14, 2020
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justmarkham / DAT8

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General Assembly's 2015 Data Science course in Washington, DC

python data-science machine-learning natural-language-processing course clustering naive-bayes linear-regression scikit-learn jupyter-notebook pandas data-visualization web-scraping data-analysis ensemble-learning logistic-regression decision-trees regular-expressions data-cleaning model-evaluation

Updated Apr 18, 2016
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YunYang1994 / TensorFlow2.0-Examples

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Yolov3 slow?

8

yuntai commented Jul 12, 2019

with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!

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good first issue

Open

Zeropadding in common.py

Open

执行$ python yymnist/make_data.py --images_num 1000 --images_path ./data/dataset/train --labels_txt ./data/dataset/yymnist_ train.txt

3

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edyoda / data-science-complete-tutorial

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For extensive instructor led learning

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Updated Jun 1, 2020
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nickgillian / grt

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Instructions for using the GRT in android

qingyangli95 commented Apr 30, 2018

Hi nick,
Could you provide instructions for using the GRT in android? The instructions you provided on blog post is not available now.

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Open

Documentation for getClassLikelihoods() and getClassDistances() should refer to getClassLablels().

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Wrong documentation in LowPassFilter ?

machine-learning-octave

trekhleb / machine-learning-octave

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🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

machine-learning neural-network clustering matlab linear-regression regression prediction octave neural-networks

Updated Dec 22, 2018
MATLAB

fukuball / fuku-ml

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Simple machine learning library / 簡單易用的機器學習套件

machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines

Updated Sep 11, 2018
Python

sajari / regression

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Multivariable regression library in Go

go linear-regression regression

Updated Nov 26, 2019
Go

jmartinezheras / 2018-MachineLearning-Lectures-ESA

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Machine Learning Lectures at the European Space Agency (ESA) in 2018

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Updated Feb 17, 2020
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emilwallner / Deep-Learning-From-Scratch

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Six snippets of code that made deep learning what it is today.

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Updated Oct 10, 2019
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R-js / blasjs

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Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

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Updated Mar 9, 2019
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Vaibhav / Stock-Analysis

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Regression, Scrapers, and Visualization

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Updated Feb 9, 2020
Python

SchoolOfAISaoPaulo / aulas

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Aulas da Escola de Inteligência Artificial de São Paulo

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Updated Dec 3, 2019
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HuangCongQing / MachineLearning_Ng

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吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

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Updated May 11, 2020
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Madhu009 / Deep-math-machine-learning.ai

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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Updated Mar 15, 2019
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100-Days-Of-ML-Code

harunshimanto / 100-Days-Of-ML-Code

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A day to day plan for this challenge. Covers both theoritical and practical aspects

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Updated Oct 31, 2019
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Java-Deep-Learning-Cookbook

rahul-raj / Java-Deep-Learning-Cookbook

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Code for Java Deep Learning Cookbook

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Updated Dec 23, 2019
Java

arnaldog12 / Machine_Learning

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Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

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Updated Mar 21, 2019
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faridcher / ml-course

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Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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Updated Jul 12, 2018
R

Somnibyte / MLKit

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A simple machine learning framework written in Swift 🤖

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Updated Aug 28, 2018
Swift

cod3licious / autofeat

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Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

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Updated May 2, 2020
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abhinavsagar / machine-learning-deployment

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Launch machine learning models into production using flask, docker etc.

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Updated May 30, 2020
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hiroyuki-kasai / SGDLibrary

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MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17

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Updated Nov 20, 2018
Terra

snrazavi / Machine_Learning_2018

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Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

python machine-learning clustering linear-regression regression neural-networks supervised-learning pca classification dimensionality-reduction logistic-regression recommender-system gradient-descent support-vector-machines backpropagation anomaly-detection unsupervised-machine-learning

Updated Jan 10, 2019
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