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

Math for Machine Learning & Data Science

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

A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers

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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

Data Science: Bayesian Classification in Python

Fundamentals of Bayesian Machine Learning Parametric Models

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