Course Catalog

Not sure what order to take the courses in? Check out the course order page.

Latest Courses

Data Science: Transformers for Natural Language Processing

BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras

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Machine Learning: Natural Language Processing in Python (V2)

NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python

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Time Series Analysis, Forecasting, and Machine Learning

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting

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Financial Engineering and Artificial Intelligence in Python

Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!

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Deep Learning Fundamentals

Deep Learning Prerequisites: Linear Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals

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Deep Learning Prerequisites: Logistic Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals

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Data Science: Deep Learning and Neural Networks in Python

A guide for writing your own neural network in Python and Numpy, and how to do it in Google's TensorFlow.

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Modern Deep Learning in Python

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.

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Deep Learning: Convolutional Neural Networks in Python

Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow

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Deep Learning: Recurrent Neural Networks in Python

GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences

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Unsupervised Deep Learning in Python

Autoencoders and Restricted Boltzmann Machines for Deep Neural Networks in Theano / Tensorflow, plus t-SNE and PCA

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Natural Language Processing with Deep Learning in Python

Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets

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Advanced AI: Deep Reinforcement Learning in Python

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

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Deep Learning: GANs and Variational Autoencoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

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Deep Learning Applications

Data Science: Transformers for Natural Language Processing

BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras

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PyTorch: Deep Learning and Artificial Intelligence

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

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Tensorflow 2.0: Deep Learning and Artificial Intelligence

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

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Recommender Systems and Deep Learning in Python

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

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Deep Learning: Advanced NLP and RNNs

Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

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Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More Tensorflow, Keras, and Python

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Machine Learning Fundamentals

Deep Learning Prerequisites: Linear Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals

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Deep Learning Prerequisites: Logistic Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals

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Data Science: Supervised Machine Learning in Python

Complete Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

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Cluster Analysis and Unsupervised Machine Learning in Python

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.

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Unsupervised Machine Learning: Hidden Markov Models in Python

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.

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Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python

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Machine Learning and AI: Support Vector Machines in Python

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression

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Data Science & Machine Learning: Naive Bayes in Python

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills

Data Science and Statistics Fundamentals

Classical Statistical Inference and A/B Testing in Python

The Most-Used and Practical Data Science Techniques in the Real-World

Linear Programming for Linear Regression in Python

For Operations Research, Quantitative Finance, Economics, and More

Data Science and Machine Learning for Business Applications

Bayesian Machine Learning in Python: A/B Testing

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

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Recommender Systems and Deep Learning in Python

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

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Time Series Analysis, Forecasting, and Machine Learning

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting

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Data Science: Time Series Forecasting with Facebook Prophet in Python

Time Series Analysis with the Facebook Prophet Library

Natural Language Processing

Machine Learning: Natural Language Processing in Python (V2)

NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python

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Data Science: Natural Language Processing (NLP) in Python

Practical applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

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Natural Language Processing with Deep Learning in Python

Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets

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Deep Learning: Advanced NLP and RNNs

Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

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Data Science: Transformers for Natural Language Processing

BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras

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Computer Vision

Deep Learning: Convolutional Neural Networks in Python

Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow

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Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More Tensorflow, Keras, and Python

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Deep Learning: GANs and Variational Autoencoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

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Reinforcement Learning

Artificial Intelligence: Reinforcement Learning in Python

Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning

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Advanced AI: Deep Reinforcement Learning in Python

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

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Cutting-Edge AI: Deep Reinforcement Learning in Python

Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG

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Numerical Computing Fundamentals

Deep Learning Prerequisites: The Numpy Stack in Python (V2)

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

Numpy, Scipy, Pandas, Matplotlib, and Scikit-Learn: prep for deep learning, machine learning, and artificial intelligence

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MATLAB for Students, Engineers, and Professionals in STEM

Complete guide to MATLAB for beginners and experts

Programming Basics

Complete SQL Bootcamp for Data Science, Analytics, Marketing

Master SQL for Job Interview Preparation, Data Analysis, Big Data, and Business Intelligence

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Bayesian Machine Learning

Bayesian Machine Learning in Python: A/B Testing

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

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Data Science: Bayesian Linear Regression in Python

Fundamentals of Bayesian Machine Learning Parametric Models

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