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data science tutorial Data Science Data Science is the most challenging field of the 21st generation. Every type of IT industry is looking for candidates with knowledge of data science. We are providing the basic and some advanced concepts related to the operation that can be performed upon the data with the help of different technologies. In this tutorial, we will discuss the following topics: What is Data Science The need for Data Science Jobs in Data Science Types of Jobs in Data Science Prerequisites of Data Science Components of Data Science Tools of Data Science Work Flow of Data Science Life Cycle of Data Science BI (Business Intelligence) Vs. Data Science Applications of Data Science Data Science Vs. Big Data Conclusion What is Data Science? Data Science is the multi corrective field that uses scientific methods, processes, algorithms, and systems to extract the knowledge and insights from the ordered and shapeless data. It is the future of artificial intelligence. Data Scien

machine learning tutorial Data scientists often have to communicate results to other people. In my case, my supervisors might want to see some numbers or I have to write up the main insights of some work for a paper. This is pretty straightforward — I just copy and paste into an email or a Latex document. But what if I want to send someone an actual model that I have trained, so that they can either evaluate or use it? If the person in question is technical enough, then I can just save the model to disk and email that, along with some Jupyter notebooks. But what if you want someone in marketing to try out a model, or you want to share it with friends who might find it interesting? In this case, you’ll need to make your code accessible to them in a way they are familiar with. The three parts to this tutorial are: Creating a simple model that can be deployed to the web, where users can input variables to get predictions. Building the components needed by Flask microframework to create a

Java Tutorial Java Tutorial – Getting Started History of Java Getting Started with Java JDK vs JRE vs JVM public static void main(string args) Class & Object Constructor in Java Hello JBT in Eclipse Order of Execution of block Access Modifier Non-Access Modifier Data Types in Java Arithmetic Operator in Java Java Statement Different ways to create Object Equal method vs == operator Inner Class String Builder String Java Tutorial – Variables Java Variables Local Variable Instance Variable Reference Variable Variable Shadowing Java Tutorial – Operator Relational Operator Boolean Operator Equal Operator Java Tutorial – Loop Java For Loop  While Loop Java enhanced for loop Example Common Looping Algorithm Common Looping Algorithm – Count Match Common Looping Algorithm – Find First Match Java Tutorial – Exception Exception Try with resource statement try catch finally block Java Tutorial – OOPS Concept Overloading Overriding Interface Inheritance Encapsulation Abstraction Composition

Python Tutorial The first chapter in this tutorial begins by emphasising the main features of Python programming language.  Python is simple to use, interpreter based, cross-platform, dynamically typed and extensible. Some important applications for which Python is used include data science, machine learning, image processing etc. IT giants such as Google and Facebook use Python in their applications and actively support the Python community. This chapter takes a brief look at the history of development of Python. Currently, two versions of Python (Python 2.7 and Python 3.7) are hosted on Python software foundation’s official website, although maintenance and support of Python 2.x is set to be discontinued after 2020. Beginner Introduction Text input and output String slices Variables Lists If statements Functions Global and Local variables Scope Loops Range Tuples Dictionaries Datatype casting Random numbers Read file Write file Objects and classes Python class Encapsulation Method o