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https://github.com/lazyprogrammer/machine_learning_examples

A collection of machine learning examples and tutorials.
https://github.com/lazyprogrammer/machine_learning_examples

data-science deep-learning machine-learning natural-language-processing python reinforcement-learning

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A collection of machine learning examples and tutorials.

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README 

        
machine_learning_examples

=========================



A 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 repo

=================================



I've noticed that many people have out-of-date forks.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 I am constantly updating my courses, and your fork will soon become out-of-date.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 Links

===================



**Data 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



**Math 0-1: Linear Algebra for Data Science & Machine Learning**



https://deeplearningcourses.com/c/linear-algebra-data-science



Deep Learning Courses Exclusives

================================



Data Science: Bayesian Linear Regression in Python

https://deeplearningcourses.com/c/bayesian-linear-regression-in-python



Data Science: Bayesian Classification in Python

https://deeplearningcourses.com/c/bayesian-classification-in-python



Classical 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 Links

==================



Math 0-1: Matrix Calculus for Data Science & Machine Learning

https://deeplearningcourses.com/c/matrix-calculus-machine-learning



Machine Learning: Modern Computer Vision & Generative AI

https://deeplearningcourses.com/c/computer-vision-kerascv



DeepFakes & Voice Cloning: Machine Learning The Easy Way

https://deeplearningcourses.com/c/deepfakes-voice-cloning



Financial Analysis: Build a ChatGPT Pairs Trading Bot

https://deeplearningcourses.com/c/chatgpt-pairs-trading



Math 0-1: Calculus for Data Science & Machine Learning

https://deeplearningcourses.com/c/calculus-data-science



Data Science & Machine Learning: Naive Bayes in Python

https://deeplearningcourses.com/c/data-science-machine-learning-naive-bayes-in-python



Cutting-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