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This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignments in the course you are instructed to create complete, stand-alone Octav…
Solutions to assignments of the following Specializations on Coursera: NOTE: Please ★ the repo if you find it useful.
Then you can come back here to download the repository. This repository contains the code that we develop in each section of the course. If you are familiar with Git, you can use Git to download it. …
Machine Learning is a branch of Artificial Intelligence dedicated at making machines learn from observational data without being explicitly programmed. Machine learning and AI are not the same. Machi…
If you've finished the amazing introductory Machine Learning on Coursera by Prof. Andrew Ng, you probably got familiar with Octave/Matlab programming. With this repo, you can re-implement them in Pyt…
Python Jupyter notebook (IPython) This repository does not contain optimal machine learning models! It only assesses various models that can be built using different machine learning algorithms (eith…
Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientist by skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a…
“So, ask yourself: If what you're working on succeeds beyond your wildest dreams, would you have significantly helped other people? If not, then keep searching for something else to work on. Otherwis…
Eve is an open source Python REST API framework designed for human beings. It allows to effortlessly build and deploy highly customizable, fully featured RESTful Web Services. This course will teach …
JetBrain's PyCharm Cheat Sheet PyCharm is the premier Python IDE (integrated development environment). You will be hard-pressed to find an editor that gives a more holistic way to build Python applic…
Contents: Programming Assignment #1: Linear Regression (Week 2) Programming Assignment #2: Logistic Regression (Week 3) Programming Assignment #3: Multi-class Classification and Neural Networks (Week…
[注]:吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现, 目前包括ex1, ex2, ex3, ex4, ex5,ex6.python代码是完全根据matlib代码修改而来,几乎一一对应。 下面就是要求出theta,使代价最小,即代表我们拟合出来的方程距离真实值最近 实现代码: 先介绍个三层的神经网络,如下图所示 所以可以得到: BP反向传播的目的就是求代价函…
Author: Peter Fisher This course covers microservice fundamentals and advanced topics with a hands-on demonstration of how to implement microservices using real-world examples. Learn how to design an…
The collection the DataCamp courses I have taken so far.
A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3
This course aims to introduce students to modern state of Machine Learning andArtificial Intelligence. It is designed to take one year (two terms at MIPT) -approximately 2 * 15 lectures and seminars.…
First semester of girafe-ai Machine Learning course Special thanks to:
This mathematics course is designed for the first year Ph.D. students of computer science and related areas. The course focuses on the methodologies, technologies, mathematics and algorithms currentl…
The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intellig…
A repo for a course on Python DevOps
His most recent books are: His most recent video courses are: His most recent online courses are:
Much of this resource was reviewed and updated in spring 2023. Significant changes to Selenium (v.4) and the Flask extension Bootstrap-Flask necessitated code revisions as well as document rewrites. …
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