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30_days_udacity

30_days_udacity_nutanix

60_days_udacity

ama_session

AMA Session

amazon-web-services-machine-learning-essential-training

Amazon Web Services Machine Learning Essential Training

bike_sharing_pattern

In this project, we'll build a neural network from scratch to carry out a prediction problem on a real dataset!

blue_ocean

capstone_project_mlend

capstone_proposal_mlend

In this capstone project proposal, I'll provide a proposal for solving a dog's breed classification problem from its image by applying deep learning algorithm.

ci_cd_project

collaborate_competition

In this environment, two agents control rackets to bounce a ball over a net. If an agent hits the ball over the net, it receives a reward of +0.1. If an agent lets a ball hit the ground or hits the ball out of bounds, it receives a reward of -0.01. Thus, the goal of each agent is to keep the ball in play.

collaborative_noise2noise

communicate_data_finding

This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process.

computer_pointer_controller

In this project, we control the mouse pointer of the computer by using the direction and movement of the user’s eyes.

continuous_control_reacher

In this project, we will provide you with one solution of Reacher Unity environment which contains 20 identical agents. The goal is to maintain all these agents at their respective target locations for as many time steps as possible.

course-collaboration-travel-plans

customer_segments

In this project, I'll apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns.

data_scientist_nanodegree

In this nanodegree, I'll master the skills necessary to become a successful Data Scientist. I’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.

deep_learning_nanodegree

deep_reinforcement_learning_nanodegree

deploying_a_sentiment_analysis_model

In this project, we'll construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. We'll create this model using Amazon's SageMaker service. In addition, we'll deploy our model and construct a simple web app which will interact with the deployed model.

devops_capstone_project

In this project we'll apply the skills and knowledge which were developed throughout the Cloud DevOps Nanodegree program.

devops_project

disaster_response_app

Build a machine learning pipeline to categorize emergency messages based on the needs commnicated by the sender.

dockerproj

This is for a docker workflow

dog_breed_classifier

In this project, our algorithm will identify an estimate of the dog’s breed from a given image of a dog using convolution neural network . If supplied an image of a human, the code will identify the resembling dog breed.

dog_breed_classifier_capstone

In this project, we are developing an application that could be used as part of a mobile or web app. This application will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.

face_generation

In this project, we are going to define two adversarial networks, a generator and a discriminator, and train them until we can generate realistic faces.

find_the_right_glass_frame

This web app will show a basic usage of AI with Intel OpenVINO toolkit to help a person to choose a right glass frame virtually without all the hassles and dilemma.

finding_donors_for_charityml

CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. In this project, we get on board with CharityML to help build an algorithm to best identify potential donors for this endeavor.