Code for Tensorflow Machine Learning Cookbook
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linear-regression
Repositories 1,363
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
tensorflow
machine-learning
regression
convolutional-neural-networks
logistic-regression
book
reinforcement-learning
autoencoder
linear-regression
classification
clustering
Jupyter Notebook
Updated Jul 17, 2018
Plain python implementations of basic machine learning algorithms
machine-learning
logistic-regression
ipynb
machine-learning-algorithms
linear-regression
perceptron
python-implementations
kmeans
algorithm
python3
python
neural-network
k-nearest-neighbours
k-nearest-neighbor
k-nn
neural-networks
Jupyter Notebook
Updated Jan 30, 2019
Bare bone examples of machine learning in TensorFlow
tensorflow
tensorflow-tutorials
distributed-computing
simple
big-data
linear-regression
tensorflow-examples
tensorflow-exercises
Python
Updated Mar 14, 2017
General Assembly's 2015 Data Science course in Washington, DC
data-science
machine-learning
scikit-learn
data-analysis
pandas
jupyter-notebook
python
course
linear-regression
logistic-regression
model-evaluation
naive-bayes
natural-language-processing
decision-trees
ensemble-learning
clustering
regular-expressions
web-scraping
data-visualization
data-cleaning
Jupyter Notebook
Updated Apr 18, 2016
Python code for common Machine Learning Algorithms
linear-regression
polynomial-regression
logistic-regression
decision-trees
random-forest
svm
svr
knn-classification
naive-bayes-classifier
kmeans-clustering
hierarchical-clustering
pca
lda
xgboost-algorithm
Jupyter Notebook
Updated Mar 20, 2019
gesture recognition toolkit
gesture-recognition
grt
machine-learning
gesture-recognition-toolkit
support-vector-machine
random-forest
kmeans
dynamic-time-warping
softmax
linear-regression
C++
Updated Mar 21, 2019
Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/
machine-learning
scikit-learn
linear-regression
nearest-neighbors
feature-selection
decision-trees
numpy
pandas
pipeline
Jupyter Notebook
Updated Mar 11, 2019
machine-learning
octave
matlab
prediction
neural-network
neural-networks
regression
clustering
linear-regression
MATLAB
Updated Dec 22, 2018
Simple machine learning library / 簡單易用的機器學習套件
machine-learning
svm
support-vector-machines
classification
regression
linear-regression
logistic-regression
perceptron
decision-trees
neural-network
Python
Updated Sep 11, 2018
Six snippets of code that made deep learning what it is today.
Jupyter Notebook
Updated Sep 25, 2017
Machine Learning Lectures at the European Space Agency (ESA) in 2018
machinelearning
machine-learning
linear-regression
support-vector-machines
decision-trees
random-forest
neural-network
deep-learning
clustering
pca
anomaly-detection
text-mining
tf-idf
topic-modeling
lectures
lecture-slides
lecture-material
lecture-videos
Jupyter Notebook
Updated Mar 15, 2019
Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations…
blas
linear-algebra
lapack
linear-regression
vector-algebra
generalized-linear-model
matrix
vector
complex-matrix
conjugate-matrix
transpose-matrix
determinant
conjugate
machine-learning
neural-network
mathlab
TypeScript
Updated Mar 9, 2019
Multivariable regression library in Go
Go
Updated Mar 12, 2019
Regression, Scrapers, and Visualization
linear-regression
stock-analysis
stock-prices
stocks
visualization
svm
prediction
sentiment-analysis
Python
Updated Oct 8, 2018
R code for the assignments of Ng's Coursera machine learning course
machine-learning
learning-curve
pca
linear-regression
gradient-descent
svm
principal-component-analysis
clustering
neural-network
k-means
recommender-system
classification
regularization
anomalydetection
R
Updated Jul 12, 2018
A simple machine learning framework written in Swift 🤖
regression
ridge-regression
swift
machine-learning
machine-learning-algorithms
artificial-intelligence
polynomial-regression
linear-regression
machine-learning-library
mlkit
kmeans-clustering
neural-network
feedforward-neural-network
backpropagation
lasso-regression
kmeans
genetic-algorithm
Swift
Updated Aug 28, 2018
A day to day plan for this challenge. Covers both theoritical and practical aspects
machine-learning
python
eda
vizualization
100daysofmlcode
datascience
tutorials
siraj-raval-challenge
machine-learning-algorithms
infographics
100-days-of-code
implementation
regression-algorithms
exploratory-data-analysis
data-science
data-preprocessing
decision-tree
textsummarization
linear-regression
article
Jupyter Notebook
Updated Feb 8, 2019
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms wri…
machine-learning
linear-regression
tensorflow
gradient-descent-algorithm
logistic-regression
support-vector-machines
deep-neural-networks
word2vec
natural-language-processing
reinforcement-learning-algorithms
policy-iteration
value-iteration
monte-carlo-methods
temporal-differencing-learning
q-learning
sarsa
general-adversarial-network
gans
neural-networks
Jupyter Notebook
Updated Mar 15, 2019
HighCharts demo of scatter plot, including a trend line
JavaScript
Updated Dec 29, 2014
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17
optimization
optimization-algorithms
machine-learning
machine-learning-algorithms
stochastic-optimization-algorithms
stochastic-gradient-descent
big-data
gradient-descent-algorithm
gradient
logistic-regression
sgd
variance-reduction
newtons-method
linear-regression
classification
online-learning
quasi-newton
Terra
Updated Nov 20, 2018
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
Jupyter Notebook
Updated Jun 13, 2018
JavaScript
Updated Dec 28, 2017
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
machine-learning
machine-learning-algorithms
adaboost
decision-trees
kmeans
knn
linear-discriminant-analysis
principal-component-analysis
naive-bayes
regression
linear-regression
neural-network
redes-neurais-artificiais
multilinear-regression
polynomial-regression
python
feature-selection
logistic-regression
Throw in the towel.
mathematics
matrix
vector
quaternion
linear-algebra
linear-regression
data-structures
pathfinding
generic-mathematics
sorting-algorithms
avl-tree
graph-algorithms
octree
quadtree
omnitree
redblacktree
symbolic-computation
measurements
statistics
C#
Updated Mar 22, 2019
Stock price trend prediction with news sentiment analysis using deep learning
Python
Updated Mar 30, 2017
Linear regression with Gradient descent package for NPM.
JavaScript
Updated Oct 16, 2013
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mi…
optimal-designs
rstats
design-of-experiments
survival-analysis
power
r
split-plot-designs
linear-models
linear-regression
monte-carlo
R
Updated Mar 18, 2019
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
machine-learning
regression
classification
logistic-regression
neural-networks
support-vector-machines
clustering
dimensionality-reduction
pca
recommender-system
anomaly-detection
python
linear-regression
supervised-learning
unsupervised-machine-learning
gradient-descent
backpropagation
Jupyter Notebook
Updated Jan 10, 2019
A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search re…
Java
Updated Oct 7, 2018