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Deep Learning Prerequisites: Logistic Regression in Python

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Created by Lazy Programmer Inc. English [Auto-generated], Portuguese [Auto-generated], 1 more Created by Lazy Programmer Inc. This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. This course does not require any external materials.


Deep Learning Prerequisites: Linear Regression in Python

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Online Courses Udemy Data science: Learn linear regression from scratch and build your own working program in Python for data analysis. Created by Lazy Programmer Inc. English [Auto-generated], Spanish [Auto-generated] Students also bought Artificial Intelligence: Reinforcement Learning in Python Data Science: Natural Language Processing (NLP) in Python Natural Language Processing with Deep Learning in Python Cluster Analysis and Unsupervised Machine Learning in Python Complete Python Bootcamp: Go from zero to hero in Python 3 Preview this course GET COUPON CODE Description This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python. Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you'll be returning to it for years to come.


Deep Learning Prerequisites: Logistic Regression in Python

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Online Courses Udemy - Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python BESTSELLER Created by Lazy Programmer Inc English [Auto-generated], Portuguese [Auto-generated], 1 more Students also bought Data Science: Deep Learning in Python Natural Language Processing with Deep Learning in Python Advanced AI: Deep Reinforcement Learning in Python Deep Learning: Advanced NLP and RNNs Deep Learning A-Z: Hands-On Artificial Neural Networks Preview this course GET COUPON CODE Description This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.


Unsupervised Machine Learning Hidden Markov Models in Python

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Created by Lazy Programmer Inc. English [Auto-generated], Portuguese [Auto-generated] Students also bought Data Science: Natural Language Processing (NLP) in Python Bayesian Machine Learning in Python: A/B Testing Data Science: Supervised Machine Learning in Python Ensemble Machine Learning in Python: Random Forest, AdaBoost The Complete Python Course Learn Python by Doing Preview this course GET COUPON CODE Description The Hidden Markov Model or HMM is all about learning sequences. A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you're going to default.


Artificial Intelligence: Reinforcement Learning in Python

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Online Courses Udemy Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications Created by Lazy Programmer Team, Lazy Programmer Inc. English [Auto-generated], French [Auto-generated], 4 more Students also bought Bayesian Machine Learning in Python: A/B Testing Ensemble Machine Learning in Python: Random Forest, AdaBoost Machine Learning A-Z: Hands-On Python & R In Data Science Complete Python Developer in 2020: Zero to Mastery Natural Language Processing with Deep Learning in Python Preview this course GET COUPON CODE Description When people talk about artificial intelligence, they usually don't mean supervised and unsupervised machine learning. These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level. Reinforcement learning has recently become popular for doing all of that and more. Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn't been until recently that we've been able to observe first hand the amazing results that are possible. In 2016 we saw Google's AlphaGo beat the world Champion in Go.