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100 Days of ML Coding
Created
2018-07-05
109 commits to master branch, last one 4 years ago
Code for Tensorflow Machine Learning Cookbook
Created
2016-06-10
409 commits to master branch, last one 4 years ago
Collection of notebooks about quantitative finance, with interactive python code.
python
econometrics
heston-model
kalman-filter
levy-processes
option-pricing
brownian-motion
american-options
fourier-inversion
jupyter-notebooks
linear-regression
monte-carlo-methods
quantitative-finance
stochastic-processes
financial-engineering
financial-mathematics
linear-systems-equations
jump-diffusion-mertons-model
partial-differential-equations
stochastic-differential-equations
Created
2019-09-10
75 commits to master branch, last one about a month ago
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Created
2016-03-06
110 commits to master branch, last one 4 years ago
Python code for common Machine Learning Algorithms
Created
2017-05-26
211 commits to master branch, last one 2 years ago
Plain python implementations of basic machine learning algorithms
Created
2018-02-19
137 commits to master branch, last one 4 months ago
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
mooc
python
coursera
andrew-ng
solutions
tensorflow
deep-learning
decision-trees
neural-network
machine-learning
linear-regression
coursera-assignment
logistic-regression
recommendation-system
unsupervised-learning
coursera-specialization
andrew-ng-machine-learning
supervised-machine-learning
unsupervised-machine-learning
Created
2022-06-16
145 commits to main branch, last one about a month ago
Bare bone examples of machine learning in TensorFlow
Created
2016-09-08
63 commits to master branch, last one 7 years ago
For extensive instructor led learning
Created
2018-09-15
155 commits to master branch, last one 2 years ago
🙄 Difficult algorithm, Simple code.
Created
2019-03-07
376 commits to master branch, last one 3 years ago
General Assembly's 2015 Data Science course in Washington, DC
Created
2015-08-07
119 commits to master branch, last one 8 years ago
gesture recognition toolkit
Created
2014-01-03
897 commits to master branch, last one 5 years ago
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Created
2018-10-19
163 commits to master branch, last one 4 years ago
214
664
mit
30
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 ...
Created
2020-06-13
42 commits to master branch, last one 9 months ago
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Created
2019-01-22
76 commits to main branch, last one about a month ago
Fast Best-Subset Selection Library
r
python
scikit-learn
cox-regression
machine-learning
feature-selection
linear-regression
multitask-learning
ordinal-regression
poisson-regression
logistic-regression
polynomial-algorithm
best-subset-selection
high-dimensional-data
classification-algorithm
sure-independence-screening
principal-component-analysis
robust-principal-component-analysis
sparse-principal-component-analysis
Created
2020-12-20
2,762 commits to master branch, last one 2 months ago
Multivariable regression library in Go
Created
2013-07-10
56 commits to master branch, last one 2 years ago
Regression, Scrapers, and Visualization
Created
2016-07-10
160 commits to main branch, last one about a year ago
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Created
2014-03-12
197 commits to master branch, last one 5 months ago
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
Created
2023-05-02
88 commits to main branch, last one about a year ago
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。
Created
2020-07-01
69 commits to master branch, last one 3 years ago
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Created
2018-06-25
55 commits to master branch, last one about a year ago
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Created
2019-05-29
35 commits to master branch, last one 3 years ago
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:
llm
python
big-data
regression
100daysofcode
deep-learning
generative-ai
hacktoberfest
classification
linear-algebra
100daysofmlcode
neural-networks
machine-learning
linear-regression
regression-models
polynomial-regression
artificial-intelligence
classification-algorithm
artificial-neural-networks
scikitlearn-machine-learning
Created
2020-01-11
452 commits to master branch, last one 6 months ago
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Created
2018-10-31
56 commits to master branch, last one 4 months ago
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, ...
Created
2018-02-27
374 commits to next branch, last one about a year ago
Implementation of basic ML algorithms from scratch in python...
Created
2019-03-11
36 commits to master branch, last one 3 years ago
Simple machine learning library / 簡單易用的機器學習套件
Created
2016-01-15
235 commits to master branch, last one 6 years ago
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Created
2021-05-31
424 commits to main branch, last one 2 years ago
Compendium of free ML reading resources
Created
2023-09-01
122 commits to main branch, last one a day ago