ashokbhow
Instructor and Researcher in Data Analytics and Machine Learning Ryerson University, Toronto Ph. D Physics, 17+ years in R&D, Publications/Book/Paten
Toronto, Canada
Pinned Repositories
Articles-Pubs
Some Articles of interest to Data Science
Bayes-Classify-20-newsgroups
python notebook showing naive bayes text classification using sklearn and the 20 newsgroups data set.
Capstone-Project
This work is being carried out for the Capstone Project on a medical data of Electroencephalogram (EEG).
CASCON-2018_Analyzing_images
Samples for CASCON 2018 workshop
Computational-Neuroscience
datascience
Coursera Project
Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
datasharing
The Leek group guide to data sharing
Deep_Learning
Deep Neural Net and AI
facenet
Face recognition using Tensorflow
ashokbhow's Repositories
ashokbhow/Articles-Pubs
Some Articles of interest to Data Science
ashokbhow/Bayes-Classify-20-newsgroups
python notebook showing naive bayes text classification using sklearn and the 20 newsgroups data set.
ashokbhow/Capstone-Project
This work is being carried out for the Capstone Project on a medical data of Electroencephalogram (EEG).
ashokbhow/CASCON-2018_Analyzing_images
Samples for CASCON 2018 workshop
ashokbhow/Computational-Neuroscience
ashokbhow/datascience
Coursera Project
ashokbhow/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
ashokbhow/Deep_Learning
Deep Neural Net and AI
ashokbhow/facenet
Face recognition using Tensorflow
ashokbhow/Getting-and-Cleaning-Data-Assignment
Getting and Cleaning Data Course Assignment
ashokbhow/HIVE-PIG-SPARK
ashokbhow/keras
Deep Learning for humans
ashokbhow/keras-preprocessing
Utilities for working with image data, text data, and sequence data.
ashokbhow/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
ashokbhow/Machine-Learning-Andrew-Ng
机器学习-Coursera-吴恩达- python+Matlab代码实现
ashokbhow/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
ashokbhow/matplotlib
matplotlib: plotting with Python
ashokbhow/ML_WORKSHOP
Machine learning workshop
ashokbhow/models
Models and examples built with TensorFlow
ashokbhow/movie-recommender
Nearest neighbors movie recommender tutorial
ashokbhow/neural-style-painting
Implementing of the "A Neural Algorithm of Artistic Style"
ashokbhow/probabilistic-programming
Experimenting with and teaching probabilistic programming
ashokbhow/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
ashokbhow/Python_R
sample
ashokbhow/Ryan-Boyd
Capstone for Ryerson University Data Analytics Certificate
ashokbhow/Source_Codes
ashokbhow/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
ashokbhow/Tensorflow_Neural-Network
ashokbhow/tfbook
ashokbhow/u-net
U-Net: Convolutional Networks for Biomedical Image Segmentation