linear-regression

There are 40 repositories under linear-regression topic.

Avik-Jain / 100-Days-Of-ML-Code
100 Days of ML Coding
100-days-of-code-log 100daysofcode deep-learning implementation infographics linear-algebra linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier python scikit-learn siraj-raval siraj-raval-challenge support-vector-machines svm tutorial
37335
nfmcclure / tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
classification cnn genetic-algorithm kmeans-clustering linear-regression machine-learning neural-network nlp ode packtpub regression rnn svm tensorboard tensorflow tensorflow-algorithms tensorflow-cookbook
Language:Jupyter Notebook 6021
BinRoot / TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow
Language:Jupyter Notebook 4445
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
american-options brownian-motion econometrics financial-engineering financial-mathematics fourier-inversion heston-model jump-diffusion-mertons-model jupyter-notebooks kalman-filter levy-processes linear-regression linear-systems-equations monte-carlo-methods option-pricing partial-differential-equations python quantitative-finance stochastic-differential-equations stochastic-processes
Language:Jupyter Notebook 3684
zotroneneis / machine_learning_basics
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
Language:Jupyter Notebook 3669
susanli2016 / Machine-Learning-with-Python
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
Language:Jupyter Notebook 3554
jostmey / NakedTensor
Bare bone examples of machine learning in TensorFlow
tensorflow tensorflow-tutorials distributed-computing simple big-data linear-regression tensorflow-examples tensorflow-exercises
Language:Python 2441
YunYang1994 / TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
tensorflow2 tensorflow-examples deep-learning deep-neural-networks machine-learning gan linear-regression resnet reinforcement-learning image-classification object-detection convolutional-neural-network pix2pix dcgan-tensorflow vgg16 yolov3 unet-image-segmentation fcn8s tensorflow
Language:Jupyter Notebook 1642
justmarkham / DAT8
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
Language:Jupyter Notebook 1534
edyoda / data-science-complete-tutorial
For extensive instructor led learning
decision-trees feature-selection linear-regression machine-learning nearest-neighbors numpy pandas pipeline scikit-learn
Language:Jupyter Notebook 1318
nickgillian / grt
gesture recognition toolkit
gesture-recognition grt machine-learning gesture-recognition-toolkit support-vector-machine random-forest kmeans dynamic-time-warping softmax linear-regression
Language:C++ 777
machine-learning-octave
trekhleb / machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
machine-learning octave matlab prediction neural-network neural-networks regression clustering linear-regression
Language:MATLAB 729
Vaibhav / Stock-Analysis
Regression, Scrapers, and Visualization
linear-regression stock-analysis stock-prices stocks visualization svm prediction sentiment-analysis hacktoberfest hacktoberfest2020
Language:Jupyter Notebook 344
sajari / regression
Multivariable regression library in Go
go linear-regression regression
Language:Go 341
jmartinezheras / 2018-MachineLearning-Lectures-ESA
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
Language:Jupyter Notebook 309
cod3licious / autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
automated-data-science automated-feature-engineering automated-machine-learning automl feature-engineering feature-selection linear-regression machine-learning machine-learning-models
Language:Jupyter Notebook 308
tsuirak / deeplearning.ai
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 natural-language tensorflow2 keras-tensorflow coursera andrew-ng logistic-regression naive-bayes svm-classifier linear-regression k-means keras
Language:Jupyter Notebook 294
fukuball / fuku-ml
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
Language:Python 279
R-js / blasjs
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
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
Language:TypeScript 264
abess
abess-team / abess
Fast Best-Subset Selection Library
polynomial-algorithm high-dimensional-data best-subset-selection machine-learning python r scikit-learn principal-component-analysis linear-regression classification-algorithm
Language:C++ 263
emilwallner / Deep-Learning-From-Scratch
Six snippets of code that made deep learning what it is today.
deep-learning linear-regression mnist perceptron least-squares gradient-descent backpropagation
Language:Jupyter Notebook 260
kaushikjadhav01 / Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
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
stock-market stock-price-prediction flask twitter tweepy sentiment-analysis machine-learning arima lstm linear-regression python yfinance alphavantage keras tensorflow wordpress
Language:Python 260
abhinavsagar / machine-learning-deployment
Launch machine learning models into production using flask, docker etc.
flask machine-learning machine-learning-deploy predictive-modeling predictive-analytics linear-regression docker docker-deployment deployment machine-learning-algorithms machine-learning-models flask-deploy
Language:CSS 228
NishkarshRaj / 100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
machine-learning python linear-regression linear-algebra scikitlearn-machine-learning deep-learning artificial-intelligence github-actions big-data polynomial-regression regression-models regression classification-algorithm clustering-algorithm classification neural-networks artificial-neural-networks 100daysofcode 100daysofmlcode hacktoberfest
Language:Jupyter Notebook 225
jayshah19949596 / Machine-Learning-Models
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
machine-learning-algorithms naive-bayes-classifier decision-trees random-forest dynamic-time-warping gaussian-mixture-models em-algorithm logistic-regression linear-regression principal-component-analysis singular-value-decomposition gaussian-classifier knn knn-classification kmeans-clustering kmeans kmeans-algorithm supervised-learning value-iteration-algorithm neural-network
Language:MATLAB 218
PacktWorkshops / The-Python-Workshop
A New, Interactive Approach to Learning Python
python machine-learning types structure algorithms data-science pytorch gridsearchcv randomizedsearchcv linear-regression logistic-regression random-forests
Language:Jupyter Notebook 215
HuangCongQing / MachineLearning_Ng
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
ai coursera linear-regression machine-learning matlab
Language:Jupyter Notebook 201
Madhu009 / Deep-math-machine-learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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
Language:Jupyter Notebook 191
100-Days-Of-ML-Code
harunurrashid97 / 100-Days-Of-ML-Code
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
Language:Jupyter Notebook 186
arnaldog12 / Machine_Learning
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
Language:Jupyter Notebook 184
SchoolOfAISaoPaulo / aulas
Aulas da Escola de Inteligência Artificial de São Paulo
ai aulas data-science estatistica gans jupyter-notebook lambda3 linear-regression lstm-neural-networks machine-learning naive-bayes professores python schoolofai statistics
Language:Jupyter Notebook 174
Java-Deep-Learning-Cookbook
rahul-raj / Java-Deep-Learning-Cookbook
Code for Java Deep Learning Cookbook
deeplearning4j dl4j dl4j-tutorials deeplearning machine-learning dl4j-cookbook binary-classification linear-regression neural-network classification regression nlp nlp-machine-learning time-series java-machine-learning reinforcement-learning cookbook artificial-neural-networks artificial-intelligence machinelearning
Language:Java 172
faridcher / ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning learning-curve pca linear-regression gradient-descent svm principal-component-analysis clustering neural-network k-means recommender-system classification regularization anomalydetection
Language:R 169
hiroyuki-kasai / SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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 svrg softmax-classification matlab
Language:MATLAB 162
snrazavi / Machine_Learning_2018
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
Language:Jupyter Notebook 160
a-martyn / ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
machine-learning statistical-learning islr supervised-learning linear-regression logistic-regression random-forest boosting-algorithms bootstrap bagging pca lda
Language:Jupyter Notebook 154

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