a-b-testing-case-study

a-new-efficient-lightweight-semantic-segmentation-network

The E-UNet is a powerful architecture for real-time semantic segmentation, especially if one wants to run it in low-resource embedded systems.

a2amir

advanced-lane-line-finding

In this project, the goal is to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car

analyse-disaster-data

In this Repos I am going to analyze disaster data from Figure Eight to build a natural language classification model for an API that classifies disaster messages.

anomaly-detection

How to detect anomalies in a dataset

autonomous-vehicle-architecture

In this module, I will be discussing the system architecture used in the Udacity self-driving car so that you can fit all of the pieces together

batch-layer-normalization

behavior-planning-by-finite-state-machine

In this section I am going to teach an approach to behavior planning that uses something called a Finite State Machine to solve the behavior planning problem.

behavioral-cloning

In this Project we're going to learn about behavioral cloning. First I am going to drive a car through tracks and then I make a neural network which will watch me and copy me to drive the vehicle autonomous.The task for the neural network is to pick up my driving skill and copy it and do the same.

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

catkin-workspace-for-ros

ROS provides a powerful build and package management system called Catkin.A Catkin workspace is essentially a directory where Catkin packages are built, modified and installed.

cocalc-docker

Docker setup for running CoCalc as downloadable software on your own computer

counting-trees-using-satellite-images

This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoing trees for an annual tree inspections.

covid-19-data-dashboard

This is a flask app that visualizes data from the COVID-19 API. Data is pulled directly from the API and then visualized using Plotly.

cs224u

Code for Stanford CS224u

data-mining-and-ai-resources

data-science-process

This Repo is about the process used for many data science problems. This will serve us as a useful guide on how to approach future data science problems.

data-visualization-in-data-science-process

Thes Repo is intended as a overview of Data Visualization and introduces some of its most important features.

dataset-analysis-for-housing-prices-prediction

How to work with missing data, data Standardization and normalization, Correlation and Causation, Linear Regression,Multiple Linear Regression, Polynomial Regression, Measures for Evaluation.

deciphering-encrypted-text-with-character-level-rnns

In this repository I build a recurrent neural network and train it to decipher strings encrypted with a certain cipher.

etl-data-pipelines

The end goal of this Repo is to create an ETL pipeline to extract, transform, and load the data from the World Bank Website into a new database.

evaluation-criteria-for-segmentation-networks

In this section, we will discuss common methods for evaluating segmentation model

experimental-design

explainability-in-machine-learning-models-for-credit-approval

Defaulting on credit can significantly impact your ability to borrow money in the future. In this study, we found that a prior default decreases the chance of getting credit by 70 percent. This explanation is based on the analysis of three machine learning models (A, B, and C) which are train on the Credit Approval Dataset.

extended-kalman-filter-for-sensor-fusion-radar-and-lidar

The goal of this project is to use a Extended Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.

face-detection-and-verification

In this Repositiory, the goal is to code networks that are developed for Face Verification and Detection.

find-prime-numbers-by-various-threads

A multi-threaded c program to find prime numbers between two ranges and the time it takes the program to run.

finding-lane-lines-on-the-road

In this project, we will use the tools to identify lane lines on the road.

fully-convolutional-networks--fcns--

In this Repo,first I will cover fully convolutional networks and semantics segmentation, then I'll apply these concepts and techniques to train and supervise semantic segmentation network.