Machine-Learning

Machine Learning Materials Coursera

Source Code to Machine Learning algorithms

This repo is for everyone to gain knowledge about Machine learning. Don't voilate the Honor Code.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

Machine-Learning

About

Releases

Packages

Languages

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Anomaly Detection and Recommender Systems Code		Anomaly Detection and Recommender Systems Code
Certificate		Certificate
K-Means Clustering and PCA Code		K-Means Clustering and PCA Code
Linear Regression Code		Linear Regression Code
Logistic Regression Code		Logistic Regression Code
Multi-class Classification and Neural Networks Code		Multi-class Classification and Neural Networks Code
Neural Network Learning Code		Neural Network Learning Code
Regularized Linear Regression and BiasVariance Code		Regularized Linear Regression and BiasVariance Code
Support Vector Machines Code		Support Vector Machines Code
Anomaly Detection and Recommender Systems.pdf		Anomaly Detection and Recommender Systems.pdf
K-Means Clustering and PCA.pdf		K-Means Clustering and PCA.pdf
Linear regression.pdf		Linear regression.pdf
Logistic Regression Code.pdf		Logistic Regression Code.pdf
Machine-Learning-AI-Advice_Lecture10-W61.pdf		Machine-Learning-AI-Advice_Lecture10-W61.pdf
Machine-Learning-AI-Learning_Lecture9-W51.pdf		Machine-Learning-AI-Learning_Lecture9-W51.pdf
Machine-Learning-AI-SysDesign_Lecture11-W62.pdf		Machine-Learning-AI-SysDesign_Lecture11-W62.pdf
Machine-Learning-Anamoly-Detection_Lecture15-W91.pdf		Machine-Learning-Anamoly-Detection_Lecture15-W91.pdf
Machine-Learning-Cost-Function-alg-W1.pdf		Machine-Learning-Cost-Function-alg-W1.pdf
Machine-Learning-LargeScaleML_Lecture17-W10.pdf		Machine-Learning-LargeScaleML_Lecture17-W10.pdf
Machine-Learning-Logistic-Regression-Classification-Lecture6-W31.pdf		Machine-Learning-Logistic-Regression-Classification-Lecture6-W31.pdf
Machine-Learning-Matrix-Lecture3-W21.pdf		Machine-Learning-Matrix-Lecture3-W21.pdf
Machine-Learning-Multiple-Features_Lecture4-W22.pdf		Machine-Learning-Multiple-Features_Lecture4-W22.pdf
Machine-Learning-Neural-Networks_Lecture8-W41.pdf		Machine-Learning-Neural-Networks_Lecture8-W41.pdf
Machine-Learning-OCR_Lecture18-W11.pdf		Machine-Learning-OCR_Lecture18-W11.pdf
Machine-Learning-Overfitting-Problem-Lecture7-W32.pdf		Machine-Learning-Overfitting-Problem-Lecture7-W32.pdf
Machine-Learning-PCA_Lecture14-W82.pdf		Machine-Learning-PCA_Lecture14-W82.pdf
Machine-Learning-Recommender-Sys_Lecture16-W92.pdf		Machine-Learning-Recommender-Sys_Lecture16-W92.pdf
Machine-Learning-SVM_Lecture12-W71.pdf		Machine-Learning-SVM_Lecture12-W71.pdf
Machine-Learning-Unsupervised-Learning_Lecture13-W81.pdf		Machine-Learning-Unsupervised-Learning_Lecture13-W81.pdf
Machine-Learning-Vectorization_Lecture5-W23.pdf		Machine-Learning-Vectorization_Lecture5-W23.pdf
Multi-class Classification and Neural Networks.pdf		Multi-class Classification and Neural Networks.pdf
Neural Network Learning.pdf		Neural Network Learning.pdf
README.md		README.md
Regularized Linear Regression and BiasVariance.pdf		Regularized Linear Regression and BiasVariance.pdf
Support Vector Machines.pdf		Support Vector Machines.pdf

gsathish86/Machine-Learning

Folders and files

Latest commit

History

Repository files navigation

Machine-Learning

About

Resources

Stars

Watchers

Forks

Releases

Packages 0

Languages

Packages