Ajay yadav expo

This is the project you can download by clicking  here , You can watch demo Don't forget to subscribe and like if you love the project.

Read or watch me on youtube (HINDI) https://www.youtube.com/watch?v=iHOntnTQ3kU Machine learing is based on data and data is oil to run the business and making decisions. Now a days small and large business are using machine learing and artificial intellience to achieve the maximum profit. Types of data..... 1. labelled data in supervised data 2. unlabelled data ( cluster on the basis of their semilarities) 3. No predefined data ... Python is a great language to make it possible to use data and make data meaningfull. Python is widely used to visualize data on the screen and make it useable. IOT and machine learing are connected where ML use algorithms to make decisions. Types of machine learning.... 1. Supervised Learning 1.1 Regression 1.2 Classification 2. Unsupervised Learning 1.1 Clustering 1.2 Dimensionality Reduction 3 Reinforcement Learning 1. Supervised Learning...... use supervised learning when the output data is known. the algorithm will predi...

How to be a web developer ?  this Question is asked frequently by the learner and who are working in computer world. I am going to take you with some of the key skills which can help you a lot to have good knowledge of the web development. These skills are required to be a good web Developer : -- 1. HTML 'Hyper text markup language' is used to write your web page. HTML5 is the latest version of the HTML, and it help you to put data of content on your website. you should have good skill in HTML and focus of the tags .  Don't spend too much time on it, Just spend 4 hours a day around 10 days , when you started feeling good in HTML and feel comfortable in it move on the next level. 2. CSS 'Cascading Style Sheets' CSS is a way to design you web page full with colours and make your page more attractive . It help you to design your page and putting animations in your web page. You should be focused on css to have good design and when you started feelin...

Ajay yadav  Programming languages are used to create something to solve the real time problem. Programmers have right skill to develop software for the computer and mobile  and make technology more friendly. Python is interpreted-high level programming language for general purpose programming.It is good to start with python for the beginners who want to develop something for the benefits of the people. I have create some videos here to help you . You are going to learn basics in HINDI. In this video i have talked about printing "hello world" and also guiding you to have strong basic its part #1. Lean About Numbers and string in python part #2. More relevant information about string and numbers in python video Part Nuber #3. List is like a row where you put you things in a row and when it's required you take it from the row. List [ ] is similar like array in other programming languages. e.x  items = [ 'cloths' , 'watches','...

    5)  C : C is one of  the oldest programming language. It has been used to develop operating systems for computers. It is also used to develop computer drivers and system software. Softwares developed in इस close to hardware and has good speed than other softwares. But in market is not in much demand. So be careful. learn it to get good strong in basics of the programming language.  4)  C++ : Advanced version of the C lang uage having Oops concepts. It is good to develop games engines. So if you want to develop games definitely you should pick up this language due to its speed. It's faster than other languages like javascript, Python etc.   3)  JAVA   :  Android is the reason for the popularity of this language. You can develop system software, android Apps and used in websites development. But Android is the main reason for the popularity in the market. 2) JavaS cript : It's awesome language to develop...

Python has gained immense popularity as a general-purpose, high-level back-end programming language for the creation of the prototype and developing applications. Python’s readability, flexibility, and suitability to data science operations have made it one of the most preferred languages among developers. It is extensively used by developers who need to apply statistical techniques or data analysis in their work. Data scientists use Python to integrate their tasks with web apps or production environments. Python libraries simplify complex jobs and make data integration much easier with fewer codes and in lesser time. In this article, I will discuss the salient features of some the top Python libraries for Data Science in 2018, and how to use them for work. 1) NumPy and SciPy NumPy provides you with fast precompiled functions for mathematical and numerical routines. In addition, NumPy optimizes Python programming with powerful data structures for efficient computation o...