Machine learning-Stanford University

Completed the CS231n 2017 spring assignments from Stanford university

Stanford CS193P Fall 2017 Demo

Solutions for CS224n course from Stanford University: Natural Language Processing with Deep Learning

CS131 斯坦福课程课件中英文版

Unofficial repo for Design and Analysis of Algorithms, Stanford University, Fall 2017.

My Solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Third-person Action Roguelike in UE4 C++ (Stanford CS193U)

Stanford course CS193P Fall 2017 Demo for iOS 12 Xcode 10 Swift 4.2

This is an unofficial LaTeX Beamer presentation template for Stanford University.

List 📋 of Books📚, Courses 💻 for Data Science 📊

Stanford University cs224N course. Deep Learnign with NLP. Solutions in Python3.6

Repo for Statistical Learning course offered by Stanford University

Solutions for CS231n course from Stanford University: Convolutional Neural Networks for Visual Recognition

🌀 Stanford CS 228 - Probabilistic Graphical Models

♊ Stanford CS230 : Deep Learning

Stanford University's CS193p (Developing Applications for iOS). My solutions for Assignments.

Stanford CS193P Fall 2017 Solution for iOS 12 Swift 4.2 Xcode 10

🐲 Stanford CS234 : Reinforcement Learning

Musculoskeletal Radiographs Abnormality Detection (MURA)

Programming assignments

🍉 Stanford CS231n Convolutional Neural Networks for Visual Recognition

# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code. ## Contents * Lectures Slides * Solution to programming assignment * Solution to Quizzes by Andrew Ng, Stanford University, [Coursera](https://www.coursera.org/learn/machine-learning/home/welcome) ### Week 1 - [X] Videos: Introduction - [X] Quiz: Introduction - [X] Videos: Linear Regression with One Variable - [X] Quiz: Linear Regression with One Variable ### Week 2 - [X] Videos: Linear Regression with Multiple Variables - [X] Quiz: Linear Regression with Multiple Variables - [X] Videos: Octave/Matlab Tutorial - [X] Quiz: Octave/Matlab Tutorial - [X] Programming Assignment: Linear Regression ### Week 3 - [X] Videos: Logistic Regression - [X] Quiz: Logistic Regression - [X] Videos: Regularization - [X] Quiz: Regularization - [X] Programming Assignment: Logistic Regression ### Week 4 - [X] Videos: Neural Networks: Representation - [X] Quiz: Neural Networks: Representation - [X] Programming Assignment: Multi-class Classification and Neural Networks ### Week 5 - [X] Videos: Neural Networks: Learning - [X] Quiz: Neural Networks: Learning - [X] Programming Assignment: Neural Network Learning ### Week 6 - [X] Videos: Advice for Applying Machine Learning - [X] Quiz: Advice for Applying Machine Learning - [X] Videos: Programming Assignment: Regularized Linear Regression and Bias/Variance - [X] Machine Learning System Design - [X] Quiz: Machine Learning System Design ### Week 7 - [X] Videos: Support Vector Machines - [X] Quiz: Support Vector Machines - [X] Programming Assignment: Support Vector Machines ### Week 8 - [X] Videos: Unsupervised Learning - [X] Quiz: Unsupervised Learning - [X] Videos: Dimensionality Reduction - [X] Quiz: Principal Component Analysis - [X] Programming Assignment: K-Means Clustering and PCA ### Week 9 - [X] Videos: Anomaly Detection - [X] Quiz: Anomaly Detection - [X] Videos: Recommender Systems - [X] Quiz: Recommender Systems - [X] Programming Assignment: Anomaly Detection and Recommender Systems ### Week 10 - [X] Videos: Large Scale Machine Learning - [X] Quiz: Large Scale Machine Learning ### Week 11 - [X] Videos: Application Example: Photo OCR - [X] Quiz: Application: Photo OCR ## Certificate * [Verified Certificate]() ## References [[1] Machine Learning - Stanford University](https://www.coursera.org/learn/machine-learning)

XQuery wrapper around the Stanford CoreNLP pipeline

🍚 Stanford CS224n: Natural Language Processing with Deep Learning

A Python API for Stanford's Explore Courses

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.

This is an unofficial LaTeX Beamer poster template for Stanford University.

Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System

Final project for Winter 2017 CS224n class