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coursera-r-programming-course

This is for the cross-review of R programming exercises

how-to-check-if-time-series-data-is-stationary-with-python

How to Check if Time Series Data is Stationary with Python

k-means-clustering-and-pca

linear-regression

My Matlab codes on machine learning

logistic-regression

machine-learning

This repository contains my Matlab codes implementing the programming assignments of Machine Learning course delivered by Andrew Ng of Stanford University on Coursera

mapreduce-and-spark-over-hadoop

Python codes that completes the exercises of Hadoop Platform Architecture course of UC San Diego

neural-network-i

The first part of the implementation of NN

neural-network-ii

The 2nd part of NN - ML course of Stanford University

npl-using-tensorflow-keras

This repository contains some TensorFlow/Keras exercises on NPL

probabilistic-graphical-model

This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford University on Coursera

probabilistic-graphical-model-i-continued-

Programming Assignment of PGM-I, including Bayesian Network for Knowledge Engineering and Bayesian Network for Genetic Inheritance

probabilistic-graphical-model-ii---inference

Probabilistic Graphical Model II - Inference

recommender-system

regularization-and-bias-variance-analysis

robotics---computational-motion-planning

Robotics: Computational Motion Planning delivered by University of Pennsylvania. Major topic is path planning.

robotics---control-of-mobile-robot

This repository contains my implementation of the programming asssignments of Control of Mobile Robots course delivered by Georgia Institute of Technology on Coursera, which covers control theory, robot models, mobility controllers and applications.

robotics---estimation-and-measurement

Robotics - Estimation, Target Tracking and SLAM

robotics---perception

Robotics Perception and Computer Vision

self-driving-car-projects-of-udacity

This repository contains my wrap-up reports of Udacity's Self-Driving Car Nano-degree Projects of Term 1 which is focused on computer vision and deep learning for decison making.

svm-and-kernel-method

SVM and Kernel Method

time-series-analysis-and-prediction

Using Deep Learning and RNN/LSTM for Time Series Learning and Prediction

variational-auto-encoding

This repositary contains complete Python code implementing VAE.

where-comes-the-name-softmax-

Why it is named 'Softmax'?