Machine-Learning

All the important and general machine learning algorithm implimentation

1. Recomendation systeam: Recomendation system has well known applications.I have used collaborative filtering learning algorithm and apply it to a dataset of movie ratings.
   
2. Anomaly detection: It is used to find some unusal activity.I have implemented an anomaly detection algorithm to detect anomalous behavior in server computers.
   
3. Linear regression: It is an important algorithm for prediction of continuous values based on data. I have implemented the algorithm with one varible for food truck profit and with multivariable for housing prices.
   
4. Logistic regreesion: It is classifiction algorithm where we plot a line and make distiction among classes.The problem I have choosen is if the student will get the admission in university or not.
   
5. regularized logistic regression: I have implemented regularized logistic regression to predict whether microchips from a fabrication plant passes quality assurance.(In folder of Logistic reg.)
   
6. Muti-class classification: I have used logistic regression , neural networks to recognize handwritten digits between 0 to 9.
   
7. Neural Network: This code contains the backpropogation step to train the neural network.
   
8. Support Vector machine: I have used SVM for spam classification of the mails.
   
9. K-means: K-means is one of the basic custring algorithm.I have used it for the image compression which is an interesting used case.
   
10. PCA: Priciple componet analysis is the dimensionality reduction algorithm and is very important for the removing unimportant data which is not going to affect the results by huge amount.