debasish2256

DataCamp

DataCamp data-science courses

Design_and_Analysis_of_Algorithm

This course will cover basic concepts in the design and analysis of algorithms. Asymptotic complexity, O() notation. Sorting and search. Algorithms on graphs: exploration, connectivity, shortest paths, directed acyclic graphs, spanning trees. Design techniques: divide and conquer, greedy, dynamic programming.Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; data structures; dynamic programming; graph algorithms; and randomized algorithms.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Hotel-Reservation-System

A console based java application. The main feauture of the app is in it's simplicity and use of core OOP feautures like Abstraction, Polymorphism, Encapsulation and Inheritance. The detailed description of parameters used are described below. One can modify it to suit their need. The hotel has three categories of rooms: Super Delux, Delux and Luxury. Only the Delux and Super Delux have wi-fi facility in the rooms. Delux and Luxury rooms may have either single or double occupancy. Each rooms has a a default room rate that is adjustable. The system changes the status of room to “occupied” when it is reserved. There is a facility to cancel the reservation also. The booking is done for some number of days. When a room is reserved, the room charge (room rate * no. of days) is displayed. The system also shows the status of rooms (whether occupied or vacant) in each category. The program displays a menu of alternatives to: Indicate the room type that needs to be booked Indicate the occpancy (single/double) in that category. If the rooms in a particular category are full, your program asks the person if it is acceptable to be placed in the other category. If yes, appropriate room is assigned.

machine-learning-for-beginners

Start writing machine learning code in just 10 hours

ML-course

A machine learning course using Python, Jupyter Notebooks, and OpenML

NTS-DSC-ML

Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Data Scientist at CircleUp in a Simplilearn Fireside Chat to find out what makes data science such an exciting field and what skills will help professionals gain a strong foothold in this fast-growing domain.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Web-Development_Intern-Theory

Web development is a broad term for the work involved in developing a web site for the Internet (World Wide Web) or an intranet (a private network). Web development can range from developing the simplest static single page of plain text to the most complex web-based internet applications (or just 'web apps') electronic businesses, and social network services. A more comprehensive list of tasks to which web development commonly refers, may include web engineering, web design, web content development, client liaison, client-side/server-side scripting, web server and network security configuration, and e-commerce development. Among web professionals, "web development" usually refers to the main non-design aspects of building web sites: writing markup and coding. Most recently Web development has come to mean the creation of content management systems or CMS. These CMS can be made from scratch, proprietary or open source. In broad terms the CMS acts as middleware between the database and the user through the browser. A principle benefit of a CMS is that it allows non-technical people to make changes to their web site without having technical knowledge.

debasish2256/NTS-DSC-ML

Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Data Scientist at CircleUp in a Simplilearn Fireside Chat to find out what makes data science such an exciting field and what skills will help professionals gain a strong foothold in this fast-growing domain.

debasish2256/DataCamp

DataCamp data-science courses

debasish2256/30-Days-of-Python

A New Version of 30 Days of Python is nearly here. Get started today.

debasish2256/30-seconds-of-cpp

30 Seconds of C++ (STL in C++). Read More about 30C++ here 👉

debasish2256/450-DSA-Tracker

Questions selected by Love Babbar, helps you to track your progress in solving 450 & keeps you engaging based on the DSA-cracker List

debasish2256/amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

debasish2256/Assistants-Pi

Headless Google Assistant and Alexa on Raspberry Pi

debasish2256/awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

debasish2256/Course_Practice

Course_Practice

debasish2256/CP

Competitive Programming

debasish2256/dlib

A toolkit for making real world machine learning and data analysis applications in C++

debasish2256/DSA

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debasish2256/DSA-1

debasish2256/Floydhub-Notebooks

This repository contains all notebooks used in Floydhub Articles

debasish2256/Grokking-System-Design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

debasish2256/hacktoberfest-2018

debasish2256/JS_Calculator

debasish2256/kafka-publisher

Apache Kafka Publisher Example using SpringBoot

debasish2256/Learn_Data_Science_in_3_Months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

debasish2256/learnopencv

Learn OpenCV : C++ and Python Examples

debasish2256/ltc_hyd_dev

Deployed for POC Purpose

debasish2256/pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

debasish2256/ProblemPractice

Self Learning

debasish2256/py

Repository to store sample python programs for python learning

debasish2256/ServiceSaver

debasish2256/shellphish

Phishing Tool for 18 social media: Instagram, Facebook, Snapchat, Github, Twitter, Yahoo, Protonmail, Spotify, Netflix, Linkedin, Wordpress, Origin, Steam, Microsoft, InstaFollowers, Gitlab, Pinterest

debasish2256/spring-first-rest-api

debasish2256/SpringBoot

debasish2256/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

debasish2256/Ultimate-Python-Resource-Hub

The Ultimate resource hub of Python: All at one place