Ashok Bhowmick's repositories
Ryan-Boyd
Capstone for Ryerson University Data Analytics Certificate
Deep_Learning
Deep Neural Net and AI
keras-preprocessing
Utilities for working with image data, text data, and sequence data.
Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
Articles-Pubs
Some Articles of interest to Data Science
probabilistic-programming
Experimenting with and teaching probabilistic programming
Capstone-Project
This work is being carried out for the Capstone Project on a medical data of Electroencephalogram (EEG).
Machine-Learning-Andrew-Ng
机器学习-Coursera-吴恩达- python+Matlab代码实现
ML_WORKSHOP
Machine learning workshop
CASCON-2018_Analyzing_images
Samples for CASCON 2018 workshop
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
u-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
facenet
Face recognition using Tensorflow
models
Models and examples built with TensorFlow
keras
Deep Learning for humans
neural-style-painting
Implementing of the "A Neural Algorithm of Artistic Style"
Python_R
sample
Bayes-Classify-20-newsgroups
python notebook showing naive bayes text classification using sklearn and the 20 newsgroups data set.
matplotlib
matplotlib: plotting with Python
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
Getting-and-Cleaning-Data-Assignment
Getting and Cleaning Data Course Assignment
movie-recommender
Nearest neighbors movie recommender tutorial
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
datascience
Coursera Project