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angular-fundamentals

It contains answers to Edx course self assessments on angular fundamentals course

apache-flink

A to Z, In-depth & HANDS-ON Practical course on a technology better than Spark for Stream processing i.e. Apache Flink

apache-spark-and-python-hands-on

“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster..

breast_cancer_tumor

category

data-analytics-on-aws

Data Analytics on AWS

deployment-of-ml-models

Build Machine Learning Model APIs

digital-marketing-using-augumented-reality

This application is developed for the purpose of digital marketing. Here, we scan the image targets and the advertisement video gets played on the scanned poster. For clear understanding watch the video: https://photos.app.goo.gl/9o1LJiTiY8d8P6t79

digital_marketing

Learn more about digital marketing !!

dl-a-z

Practical exercise and notes. Enjoy Deep learning !

elastic_search

Learn Elasticsearch from scratch and begin learning the ELK stack (Elasticsearch, Logstash & Kibana) and Elastic Stack.

explore

just trying out some basic stuff in git bash

explore_california

file-transfer-in-linux

File sharing allows a number of people to use the same file or file by some combination of being able to read or view it, write to or modify it, copy it, or print it. File sharing can also mean having an allocated amount of personal file storage in a common file system. To share the information, it is desirable to have a simple method of sharing the information with two personal computer systems. Here we are going to implement a network file-sharing application that makes sending a file to another machine on the local network as easy as draggingand-dropping.

full-stack_web_developer

Become a full-stack web developer with just one course. HTML, CSS, Javascript, Node, React, MongoDB and more!

github-slideshow

A robot powered training repository :robot:

graphical-implementation-of-3d-route-map-of-bmsit-m

The implementation of 3D ROUTE MAP OF BMSIT&M in Computer Graphics is done using OpenGL. This project would enable users to witness the simulation of model of BMSIT&M campus to many users by using a Computer System. The term real-time to computer graphics means that the computer is producing an animation or a sequence of images directly in response to some input, such as mouse movement or keyboard strokes. Basically, the project would simply start up displaying our names and the title of the project and it goes to next window when‘s’ is pressed. Followed by providing HELP window. Press ‘v’ to view the 3d model of BMSIT&M. When the keys x|X,y|Y,z|Z are pressed the plane rotates in X,Yor Z axis respectively. When ‘v’ is pressed from the help window, the present data being displayed on screen would disappear and you can see the TOP VIEW of BMSIT&M campus. On Right click on the mouse button would initiate the creation of menu which will provide a number of options i.e, destination where to reach in the campus. On clicking the option in the menu corresponding path will be highlighted from the source point at gate to destination. This project is implementation of ROUTE MAP using OpenGL in computer graphics. The users can make use of this simulation in knowing the entire BMSIT&M campus where different places and blocks are located. Here the only source point is at the gate and the paths are shown for different destinations. Here mainly translate, rotate and scaling functions are used along with keyboard and mouse interactions.

hadoop-training

Contains Hadoop materials

hello_world

my first repository

kafka-training

Contains Kafka materials

kubernetes

Kubernetes Workshop: Develop and Deploy a Microservices Application on Kubernetes

microsoft_excel

Practice from beginner to advanced

ml-a-z

Practical exercise and notes. Enjoy Machine learning !

ml_training

Contains ML related stuff!!

multimodal-biometrics-for-user-security-and-identification-management

Biometrics is technologies used for measuring and analyzing a person’s unique characteristics. There are two types of biometrics: behavioral and physical. Behavioral biometrics is generally used for verification while physical biometrics can be used for either identification or verification. Identification is determining who a person is. It involves trying to find a match for a person’s biometric data in a database containing records of people and that characteristic. This method requires time and a large amount of processing power, especially if the database is very large. Verification is determining if a person is who they say they are. It involves comparing a user’s biometric data to the previously recorded data for that person to ensure that this is the same person. This method requires less processing power and time, and is used for access control (to buildings or data). In order for the biometrics to be ultra-secure and to provide more-than-average accuracy, more than one form of biometric identification is required. Hence the need arises for the use of multimodal biometrics. This uses a combination of different biometric recognition technologies. In certain situations, the user might find one form of biometric identification is not exact enough for identification. This can be the case with fingerprints, where at least 10% of the population have worn, cut or unrecognizable prints. Multimodal biometric technology uses more than one biometric identifier to compare the identity of the person. Here, we have increased the accuracy of biometrics using two modalities one is fingerprint and the other is iris. Fusion of these two modalities is experimented for authentication purpose. The features of fingerprint and iris have been extracted which are fused and saved as a database. If one of the technologies is unable to identify, the system can still use the other to accurately identify against.

myfirstblog

This is my first blog created in DjangoGirls

nlp_in_python

Practical Applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

olympic-database-design

We want to design and implement a database in MySQL for storing the information of all athletes and their participation in the Olympic Games held over the past years. Summer Olympics have been held since 1896 (1928 for women). Of course, you are not expected to populate the database with all the athletes from all these years – just enough to answer the queries that we wish to present. ▪ An athlete has an Athlete_id, Athlete_name, gender, country, and a birth date. ▪ Each Olympiad has the year, a season (summer or winter), the country where it took place, and the city. For example, the 2008 summer Olympic Games were held in Beijing, China. ▪ Every athlete in the database participates in at least one Olympiad. An athlete can participate in several events in one Olympiad and can, in fact, participate in more than one Olympiad. For example, Michael Armstrong participated in the swimming, diving, and water polo events. Ian Thorpe participated in the Sydney 2000 summer Olympics and won 3 gold and 2 silver medals. In Athens 2004, he won two gold, one silver and one bronze medal. ▪ An event has a sport name, event name and event type. ▪ Schedule and Result has date, event details which athletes were scheduled to compete in which events and how they placed, and who the winner(s) of the event was (e.g., what kind of medal they were awarded). You may assume that null values are used for winners and placings until the event has been held. For example, the women’s 100 m backstroke swimming held in summer 2008 Olympics resulted in a gold medal (finished in 1st place) for Natalie Coughlin from USA in a time of 58.96. ▪ Events in the Olympics may be either individual or team events. If it is a team event, we wish to know who the members of each team were.

pages

power_bi

In this course you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools to fulfill all of the above tasks - and more. Imagine to quickly structure your data, to easily add calculations to it and to create and publish nice-looking charts in just a few minutes.