A guide for Exploratory Data Analysis (EDA).
Data is like food for machine learning, and any machine learning project should always begin with exploratory data analysis(EDA). EDA allows us (the practiti...
Posts by Category
- machine learning 14
- wearables 3
- adversarial example 3
- tools 2
- python 2
- algorithms 1
- har 1
- datasets 1
- stress detection 1
- utilities 1
- general 1
- data analysis 1
machine learning
Machine learning models optimization for deployment on edge devices.
Are you deploying machine learning models on embedded platforms or mobile devices?
Dealing with Imbalanced Datasets
In machine learning often, we often have imbalanced datasets. There are many ways to deal with imbalanced datasets and we below I list the most important th...
Debugging Machine Learning Models
Some practical tips on debugging machine learning models.
Datasets for Stress Detection and Classification
Introduction Stress detection and classification from physiological data is a promising direction towards assessing general health of individuals and also in...
Adversarial Transferability in Wearable Sensor Systems
A discussion on adversarial transferability in wearables.
Installing TensorFlow or PyTorch with Anaconda and Jupyter
Usually installing machine learning frameworks such as TensorFlow and PyTorch is bit of a hassle and setting up the proper environment for development based ...
Adversarial Reprogramming and Adversarial Transferability
Machine learning models have been shown to be vulnerable to adversarial examples for quite some time now. All the attack methods that have been proposed uses...
Feature Visualization of Human Activity Recognition Systems
For the class project of the Data Science course that I took during the fall 2019 semester at WSU, I choose to do a project about feature visualization of ma...
Adar: Adversarial Activity Recognition in Wearables
Introduction, Motivations, and Contributions This is the accompanying blog post for my paper “Adar: Adversarial Activity Recognition in Wearables”, which was...
Feature Selection in Machine Learning
Very often we find ourselves with feature vectors with large number of components. It is a general understanding and well received one that large number of f...
Introduction to Decision Trees
Decision Trees A decision tree is a decision support tool that uses a tree-like model of decision and their possibile consequense to form a solution for a gi...
Activation Functions in Artificial Neural Networks
In artificial neural networks, the activation function of a node defines the output of that node, or “neuron”, given a set of inputs. This output is then us...
wearables
Adversarial Transferability in Wearable Sensor Systems
A discussion on adversarial transferability in wearables.
Adversarial Reprogramming and Adversarial Transferability
Machine learning models have been shown to be vulnerable to adversarial examples for quite some time now. All the attack methods that have been proposed uses...
Adar: Adversarial Activity Recognition in Wearables
Introduction, Motivations, and Contributions This is the accompanying blog post for my paper “Adar: Adversarial Activity Recognition in Wearables”, which was...
adversarial example
Adversarial Transferability in Wearable Sensor Systems
A discussion on adversarial transferability in wearables.
Adversarial Reprogramming and Adversarial Transferability
Machine learning models have been shown to be vulnerable to adversarial examples for quite some time now. All the attack methods that have been proposed uses...
Adar: Adversarial Activity Recognition in Wearables
Introduction, Motivations, and Contributions This is the accompanying blog post for my paper “Adar: Adversarial Activity Recognition in Wearables”, which was...
tools
Frequent and Useful Code Snippits
A collection of useful and frequent code snippets that I am often trying to remember.
Installing TensorFlow or PyTorch with Anaconda and Jupyter
Usually installing machine learning frameworks such as TensorFlow and PyTorch is bit of a hassle and setting up the proper environment for development based ...
python
Discover new recipes using Python 🍝.
In this post, we are going to discover food recipes using Python. This is going to be a fun post and maybe a useful one 😁. So let’s begin.
Code reproducibility and Python virtual environments.
Creating and managing Python virtual environments In this article, we will learn to use Python's virtual environment to isolate our code while running it on...
algorithms
Insertion Sort in C
Insertion sort is a simple algorithm that builds the final sorted array (or list) one item at a time. It is much less efficient on large lists than other so...
har
Feature Visualization of Human Activity Recognition Systems
For the class project of the Data Science course that I took during the fall 2019 semester at WSU, I choose to do a project about feature visualization of ma...
datasets
Datasets for Stress Detection and Classification
Introduction Stress detection and classification from physiological data is a promising direction towards assessing general health of individuals and also in...
stress detection
Datasets for Stress Detection and Classification
Introduction Stress detection and classification from physiological data is a promising direction towards assessing general health of individuals and also in...
utilities
Frequent and Useful Code Snippits
A collection of useful and frequent code snippets that I am often trying to remember.
general
How not to give a boring presentation?
I discovered an excellent presentation on giving a presentation that doesn’t put the audience to sleep. Fun right… 
data analysis
A guide for Exploratory Data Analysis (EDA).
Data is like food for machine learning, and any machine learning project should always begin with exploratory data analysis(EDA). EDA allows us (the practiti...