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Feb 28, 2022
#
linear-regression
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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
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
machine-learning
reinforcement-learning
book
clustering
tensorflow
linear-regression
regression
classification
autoencoder
logistic-regression
convolutional-neural-networks
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Dec 14, 2019 - Jupyter Notebook
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
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Dec 3, 2021 - Jupyter Notebook
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
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Sep 26, 2021 - Jupyter Notebook
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
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svr
knn-classification
xgboost-algorithm
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Jan 17, 2022 - Jupyter Notebook
Bare bone examples of machine learning in TensorFlow
big-data
simple
tensorflow
linear-regression
distributed-computing
tensorflow-tutorials
tensorflow-exercises
tensorflow-examples
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Mar 14, 2017 - Python
Open
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!
good first issue
Good for newcomers
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
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logistic-regression
decision-trees
regular-expressions
data-cleaning
model-evaluation
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Apr 18, 2016 - Jupyter Notebook
For extensive instructor led learning
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pipeline
numpy
linear-regression
scikit-learn
pandas
feature-selection
nearest-neighbors
decision-trees
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Jan 23, 2022 - Jupyter Notebook
gesture recognition toolkit
machine-learning
random-forest
linear-regression
kmeans
support-vector-machine
dynamic-time-warping
gesture-recognition
gesture-recognition-toolkit
softmax
grt
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Nov 1, 2019 - C++
machine-learning
neural-network
clustering
matlab
linear-regression
regression
prediction
octave
neural-networks
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Jul 8, 2020 - MATLAB
Regression, Scrapers, and Visualization
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sentiment-analysis
svm
linear-regression
prediction
stocks
stock-prices
hacktoberfest
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nvda
hacktoberfest2020
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Oct 10, 2021 - Jupyter Notebook
Machine Learning Lectures at the European Space Agency (ESA) in 2018
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lectures
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linear-regression
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topic-modeling
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lecture-videos
lecture-material
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anomaly-detection
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Aug 29, 2020 - Jupyter Notebook
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
machine-learning
linear-regression
feature-selection
feature-engineering
automl
automated-machine-learning
machine-learning-models
automated-data-science
automated-feature-engineering
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Oct 28, 2021 - Jupyter Notebook
该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
machine-learning
deep-learning
naive-bayes
natural-language
linear-regression
keras
coursera
logistic-regression
k-means
svm-classifier
andrew-ng
keras-tensorflow
tensorflow2
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Jan 26, 2021 - Jupyter Notebook
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
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Jan 7, 2022 - Python
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.
machine-learning
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vector
matrix
linear-regression
linear-algebra
blas
lapack
vector-algebra
determinant
conjugate
generalized-linear-model
complex-matrix
conjugate-matrix
transpose-matrix
mathlab
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Apr 18, 2022 - TypeScript
Fast Best-Subset Selection Library
python
machine-learning
r
linear-regression
scikit-learn
high-dimensional-data
principal-component-analysis
classification-algorithm
polynomial-algorithm
best-subset-selection
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Apr 25, 2022 - C++
Six snippets of code that made deep learning what it is today.
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Oct 10, 2019 - Jupyter Notebook
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
python
wordpress
flask
machine-learning
twitter
sentiment-analysis
tensorflow
linear-regression
keras
lstm
stock-market
stock-price-prediction
tweepy
arima
alphavantage
yfinance
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Feb 10, 2022 - Python
Launch machine learning models into production using flask, docker etc.
docker
flask
machine-learning
deployment
docker-deployment
linear-regression
machine-learning-algorithms
predictive-modeling
predictive-analytics
machine-learning-models
machine-learning-deploy
flask-deploy
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Jun 7, 2021 - CSS
A New, Interactive Approach to Learning Python
python
data-science
machine-learning
types
algorithms
linear-regression
structure
pytorch
logistic-regression
random-forests
gridsearchcv
randomizedsearchcv
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Mar 12, 2022 - Jupyter Notebook
ansh997
commented
Sep 9, 2020
I see that many algorithms do have their readmes but do not have a (theoretical) explanation for the concerning algorithm. I would like to add content to such readmes.
documentation
Improvements or additions to documentation
enhancement
New feature or request
help wanted
Extra attention is needed
good first issue
Good for newcomers
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
neural-network
random-forest
linear-regression
machine-learning-algorithms
naive-bayes-classifier
supervised-learning
gaussian-mixture-models
logistic-regression
kmeans
decision-trees
knn
principal-component-analysis
dynamic-time-warping
kmeans-clustering
em-algorithm
kmeans-algorithm
singular-value-decomposition
knn-classification
gaussian-classifier
value-iteration-algorithm
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May 15, 2017 - MATLAB
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 - Jupyter Notebook
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
machine-learning
natural-language-processing
deep-neural-networks
tensorflow
word2vec
linear-regression
q-learning
neural-networks
reinforcement-learning-algorithms
sarsa
logistic-regression
gans
support-vector-machines
policy-iteration
value-iteration
gradient-descent-algorithm
monte-carlo-methods
temporal-differencing-learning
general-adversarial-network
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Mar 15, 2019 - Jupyter Notebook
Open
License.md
harunurrashid97
commented
Aug 8, 2018
Today i add a license for this repository.
good first issue
Good for newcomers
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
python
machine-learning
neural-network
naive-bayes
linear-regression
machine-learning-algorithms
regression
feature-selection
logistic-regression
kmeans
adaboost
decision-trees
polynomial-regression
knn
principal-component-analysis
redes-neurais-artificiais
linear-discriminant-analysis
multilinear-regression
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Apr 11, 2021 - Jupyter Notebook
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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)))