开源软件名称(OpenSource Name):lazyprogrammer/machine_learning_examples开源软件地址(OpenSource Url):https://github.com/lazyprogrammer/machine_learning_examples开源编程语言(OpenSource Language):Python 100.0%开源软件介绍(OpenSource Introduction):machine_learning_examplesA collection of machine learning examples and tutorials. Find associated tutorials at https://lazyprogrammer.me Find associated courses at https://deeplearningcourses.com Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the instructions given in the lectures for the course you are taking. How to I find the code for a particular course?The code for each course is separated by folder. You can determine which folder corresponds with which course by watching the "Where to get the code" lecture inside the course (usually Lecture 2 or 3). Remember: one folder = one course. Why you should not fork this repoI've noticed that many people have out-of-date forks. Thus, I recommend not forking this repository if you take one of my courses. I am constantly updating my courses, and your fork will soon become out-of-date. You should clone the repository instead to make it easy to get updates (i.e. just "git pull" randomly and frequently). Where is the code for your latest courses?Beginning with Tensorflow 2, I started to use Google Colab. For those courses, unless otherwise noted, the code will be on Google Colab. Links to the notebooks are provided in the course. See the lecture "Where to get the code" for further details. VIP Course LinksData Science: Transformers for Natural Language Processing https://deeplearningcourses.com/c/data-science-transformers-nlp Machine Learning: Natural Language Processing in Python (V2) https://deeplearningcourses.com/c/natural-language-processing-in-python Time Series Analysis, Forecasting, and Machine Learning https://deeplearningcourses.com/c/time-series-analysis Financial Engineering and Artificial Intelligence in Python https://deeplearningcourses.com/c/ai-finance PyTorch: Deep Learning and Artificial Intelligence https://deeplearningcourses.com/c/pytorch-deep-learning Tensorflow 2.0: Deep Learning and Artificial Intelligence (VIP Version) https://deeplearningcourses.com/c/deep-learning-tensorflow-2 Deep Learning Courses ExclusivesClassical Statistical Inference and A/B Testing in Python https://deeplearningcourses.com/c/statistical-inference-in-python Linear Programming for Linear Regression in Python https://deeplearningcourses.com/c/linear-programming-python MATLAB for Students, Engineers, and Professionals in STEM https://deeplearningcourses.com/c/matlab Other Course LinksCutting-Edge AI: Deep Reinforcement Learning in Python https://deeplearningcourses.com/c/cutting-edge-artificial-intelligence Recommender Systems and Deep Learning in Python https://deeplearningcourses.com/c/recommender-systems Machine Learning and AI: Support Vector Machines in Python https://deeplearningcourses.com/c/support-vector-machines-in-python Deep Learning: Advanced Computer Vision https://deeplearningcourses.com/c/advanced-computer-vision Deep Learning: Advanced NLP and RNNs https://deeplearningcourses.com/c/deep-learning-advanced-nlp Deep Learning: GANs and Variational Autoencoders https://deeplearningcourses.com/c/deep-learning-gans-and-variational-autoencoders Advanced AI: Deep Reinforcement Learning in Python https://deeplearningcourses.com/c/deep-reinforcement-learning-in-python Artificial Intelligence: Reinforcement Learning in Python https://deeplearningcourses.com/c/artificial-intelligence-reinforcement-learning-in-python Natural Language Processing with Deep Learning in Python https://deeplearningcourses.com/c/natural-language-processing-with-deep-learning-in-python Deep Learning: Recurrent Neural Networks in Python https://deeplearningcourses.com/c/deep-learning-recurrent-neural-networks-in-python Unsupervised Machine Learning: Hidden Markov Models in Python https://deeplearningcourses.com/c/unsupervised-machine-learning-hidden-markov-models-in-python Deep Learning Prerequisites: The Numpy Stack in Python https://deeplearningcourses.com/c/deep-learning-prerequisites-the-numpy-stack-in-python Deep Learning Prerequisites: Linear Regression in Python https://deeplearningcourses.com/c/data-science-linear-regression-in-python Deep Learning Prerequisites: Logistic Regression in Python https://deeplearningcourses.com/c/data-science-logistic-regression-in-python Data Science: Deep Learning and Neural Networks in Python https://deeplearningcourses.com/c/data-science-deep-learning-in-python Cluster Analysis and Unsupervised Machine Learning in Python https://deeplearningcourses.com/c/cluster-analysis-unsupervised-machine-learning-python Data Science: Supervised Machine Learning in Python https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python Bayesian Machine Learning in Python: A/B Testing https://deeplearningcourses.com/c/bayesian-machine-learning-in-python-ab-testing Data Science: Natural Language Processing in Python https://deeplearningcourses.com/c/data-science-natural-language-processing-in-python Modern Deep Learning in Python https://deeplearningcourses.com/c/data-science-deep-learning-in-theano-tensorflow Ensemble Machine Learning in Python: Random Forest and AdaBoost https://deeplearningcourses.com/c/machine-learning-in-python-random-forest-adaboost Deep Learning: Convolutional Neural Networks in Python https://deeplearningcourses.com/c/deep-learning-convolutional-neural-networks-theano-tensorflow Unsupervised Deep Learning in Python https://deeplearningcourses.com/c/unsupervised-deep-learning-in-python |
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