Pinned Repositories
course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
datacamp
A repository that contains courses I have taken on DataCamp
machine-learning-exercise
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
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-with-Python-Datacamp
Machine Learning with Python Track Datacamp
Mask_R-CNN
A modified version of Mask R-CNN based on Matterport's version. Featuring: polygon annotating mask generation and k-fold cross-validation training.
isamil's Repositories
isamil/course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
isamil/datacamp
A repository that contains courses I have taken on DataCamp
isamil/machine-learning-exercise
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
isamil/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
isamil/Machine-Learning-with-Python-Datacamp
Machine Learning with Python Track Datacamp
isamil/Mask_R-CNN
A modified version of Mask R-CNN based on Matterport's version. Featuring: polygon annotating mask generation and k-fold cross-validation training.