jayshah19949596 / machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Machine-Learning

• The Repository contains Machine Learning Algortihms Implemented by me in MATLAB and PYTHON

Alogrithm used are :

1. Decision Trees and Random Forest Classifier
2. Naive Bayes Classifier
3. Gaussian Naive Bayes Calssifier
4. Mixture Of Gaussians using EM Algorithm
5. Neural Network
6. Singular Value Decomposition
7. Principal Component Analysis
8. Fitting the data to a 1D Gaussian
9. Fitting the data to a 2D Gaussian
10. K Nearest Neighbours
11. Linear Regression
12. Logistic Regression
13. K-Mean Clustering
14. Value-Iteration-Method
15. Dynamic Time Warping
16. Error Function and Regularisation

machine-learning-models's Issues

mailtivarite time series classification for example mixture of categorical and continues data

will it work for
mailtivarite time series classification for example mixture of categorical and continues data
for example at time t1 we have observation: red, 2.4 , 5, 12.456 and time t2: green, 3.5, 2, 45.78; time t3: black, 5.6, 7, 23.56; t4: red, 2.1, 5, 12.6 ?