Discover ganeshkavhar/SQL-Joins Open Source project

Event Planner Web Application in PHP | Event Management System" is a web-based project. This system organizes the event for the customers. This system is built with PHP, MySQL, HTML, and CSS using the Bootstrap Framework.

Event-Planner-PHP-Project

Responsive E-commerce Website with Angular

Ecommerce-app-with-Angular

TypeScript

Web-Scraping-in-python

ganesh kavhar python project

Angular project by ganesh kavhar

Angular-Login-App-by-ganesh-kavhar

TypeScript

PHP-MYSQL-to-PDF-Report

make a easily report with php mysql to PDF

Desktop-Notifier-App-in-Python

A desktop notifier is a simple application which produces a notification message in form of a pop-up message on desktop.

emotion-based-music-player

Emotion-based-music-player

Android App Privacy Policy Template for Developers.

Apps-Privacy-Policy-Template

In order to add student records, the user has to provide various information such as his/her name, class, gender, phone number, parent name, and address. After this, the user can easily manage the student’s record and can update, remove if he/she wants.

Student-Management-System-in-Python

Instantly translate texts, words, paragraph from one language to another. The objective of this project is to translate text content from one language to any other language in real-time with a button click.

Language-Translator-in-Python

easy to used contact form for website

Contact-Form-for-website

Welcome to my official image editor web app...

SQL-UION-UNION-ALL-MINUS-INTERSECT

Learn SQL here

Image-Editor-by-ganesh-kavhar

JavaScript

Website-Login-Templates

CSS

PHP-and-MYSQL-Connection-of-Database

ganesh kavhar PHP Projects..

Easy to crack SQL Interviews

SQL-Interviews

Programming-DS-Algo-Python-NPTEL

Assignment Solutions for Programming, Data Structures and Algorithms using Python course in NPTEL

Notes-App

Must Have Practice PHP Programs

PHP-Programs

python project by ganesh kavhar

Python-Basic-Project

ATM-Project-in-Python

ganesh kavhar python projects..

SmartCab-App

Learn-Python-Easy-

Android App Intro Slider Template

Jupyter Notebook

IC-3D-diagram-in-C-by-ganesh-kavhar

C programming

IntroSlider-Android-App

Kotlin

Python code for Login and Signup

ganesh kavhar python projects..

Calculator-App-with-python

Chatbot-in-Python-

Music-Player-Python

Compiler-by-ganesh-kavhar

ganesh kavhar c compiler project

PayPal-Payment-Gateway-in-PHP

Payment Gateway is a bridge between the credit card holder and Credit card Company to establish a secure connection between them to interchange the data.

Learn to Code on the Go ..!

Learn-C-Programming

Python-Variable-Assignment

ganesh kavhar python tutorial

Jupyter Notebook

Learn-C-Programming-For-Beginner

C Programs Collection to learn Code for Beginner

Pract-Oracle-SQL

Hands on Practice on Oracle-SQL

Machine-Learnign-Algorithm

machine learning algorithm

Jupyter Notebook

Python-tkinter

Tkinter is a graphical user interface (GUI) module for Python, you can make desktop apps with Python. You can make windows, buttons, show text and images amongst other things.

Data-Structure-in-Python

Learn Python DS

LOg-in-form-in-PHP-by-ganesh-kavhar

Music Player App for Android by ganesh kavhar

MusicX

Bitwise-Operator-in-Python

ganesh kavhar python tutorial

ganesh kavhar python tutorials..

Google-News-in-Python-by-ganesh-kavhar

ganesh kavhar PHP Projects.. https://ganeshmkavhar.000webhostapp.com/

PHP-Hotel-management-project-

Diigital Clcik App with Python

Digital-Clock-In-Python

Form-In-Flask-Python-by-ganesh-kavhar-

flask apps development

Web-Scraping-Python-Project

Learn to code python by ganesh kavhar

Python-basic-programs

Introduction-to-data-visualisation-with-python

Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python. The course provides a broader coverage of the Matplotlib library and an overview of Seaborn (a package for statistical graphics). Topics covered include customizing graphics, plotting two-dimensional arrays (e.g., pseudocolor plots, contour plots, images, etc.), statistical graphics (e.g., visualizing distributions & regressions), and working with time series and image data.

From stock prices to climate data, time series data are found in a wide variety of domains, and being able to effectively work with such data is an increasingly important skill for data scientists. This course will introduce you to time series analysis in Python. After learning about what a time series is, you'll learn about several time series models ranging from autoregressive and moving average models to cointegration models. Along the way, you'll learn how to estimate, forecast, and simulate these models using statistical libraries in Python. You'll see numerous examples of how these models are used, with a particular emphasis on applications in finance.

introduction-to-time-series-analysis-in-python

learn to code C Programming | Mother language of Programming | Learn to code Easily

Data-Structure-in-C-Programming

Chatbot-with-Python-by-ganesh-kavhar

ganesh kavhar chatbot

From online social networks such as Facebook and Twitter to transportation networks such as bike sharing systems, networks are everywhere, and knowing how to analyze this type of data will open up a new world of possibilities for you as a Data Scientist. This course will equip you with the skills to analyze, visualize, and make sense of networks. You'll apply the concepts you learn to real-world network data using the powerful NetworkX library. With the knowledge gained in this course, you'll develop your network thinking skills and be able to start looking at your data with a fresh perspective!

Network-analysis-in-python

The tower of hanoi is a mathematical puzzle. It consists of threerods, and a number of disks of different sizes which can slideonto any rod. The puzzle starts with the disks in a neat stack in ascending order of size on one rod, the smallest at the top. We have to obtain the same stack on the third rod.

Tower-of-Hanoi-C-Program

importing-data-in-python

As a Data Scientist, on a daily basis you will need to clean data, wrangle and munge it, visualize it, build predictive models and interpret these models. Before doing any of these, however, you will need to know how to get data into Python. In this course, you'll learn the many ways to import data into Python: (i) from flat files such as .txts and .csvs; (ii) from files native to other software such as Excel spreadsheets, Stata, SAS and MATLAB files; (iii) from relational databases such as SQLite & PostgreSQL.

Python is a cross-platform programming language, meaning, it runs on multiple platforms like Windows, MacOS, Linux and has even been ported to the Java and .NET virtual machines. It is free and open source. Even though most of today’s Linux and Mac have Python preinstalled in it, the version might be out-of-date.

Python-OOPs-Programming

A vital component of data science involves acquiring raw data and getting it into a form ready for analysis. In fact, it is commonly said that data scientists spend 80% of their time cleaning and manipulating data, and only 20% of their time actually analyzing it. This course will equip you with all the skills you need to clean your data in Python, from learning how to diagnose your data for problems to dealing with missing values and outliers. At the end of the course, you'll apply all of the techniques you've learned to a case study in which you'll clean a real-world Gapminder dataset!

cleaning-data-in-python

Python and MySql Database Connectivity

Python-with-MySql-Database

Course Description It's now time to push forward and develop your Python chops even further. There are lots and lots of fantastic functions in Python and its library ecosystem. However, as a Data Scientist, you'll constantly need to write your own functions to solve problems that are dictated by your data. The art of function writing is what you'll learn in this first Python Data Science toolbox course. You'll come out of this course being able to write your very own custom functions, complete with multiple parameters and multiple return values, along with default arguments and variable-length arguments. You'll gain insight into scoping in Python and be able to write lambda functions and handle errors in your very own function writing practice. On top of this, you'll wrap up each Chapter by diving into using your acquired skills to write functions that analyze twitter DataFrames and are generalizable to broader Data Science contexts.

python-data-science-toolbox