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. everything from Tensorflow 2.0) were done in Google Colab. Therefore, you should check the instructions given in the lectures for the course you are taking.
Tensorflow 2.0: Deep Learning and Artificial Intelligence (Main Course - special discount link) https://www.udemy.com/course/deep-learning-tensorflow-2/?referralCode=E10B72D3848AB70FE1B8 (VIP Content) https://deeplearningcourses.com/c/deep-learning-tensorflow-2
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
Deep Learning 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
Easy Natural Language Processing in Python https://deeplearningcourses.com/c/data-science-natural-language-processing-in-python
Practical Deep Learning in Theano and TensorFlow 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