amanovishnu/Py-Web-Scrapping amanovishnu/Py-Web-Scrapping

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created over 4 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
amanovishnu/Py-Web-Scrapping
github

amanovishnu

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

iNeuron-Full-Stack-Data-Science-Assignments

This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Jupyter Notebook
252
star
2

Customer-Billing-System

Customer Billing System Project is a simple console application designed to demonstrate the practical use of C programming language and its features as wells as to generate an application which can be used in any departmental store, shops, cafes etc. for billing to the customer. You can use this application to keep the records such as name, address, mobile number, paid amount, due amount, payment date etc. of your regular costumer. Moreover, if you have a new customer, you can add and edit the account at any time. The source code of Customer Billing System Project in C has been written in C programming language without of the use of any graphics. The code is complete, totally error free and not that long โ€“ just. It is to be compiled in Code::Blocks using GCC compiler.
C
24
star
3

LeetCode

This repository is a collection of solutions to LeetCode problems. It provides a variety of implementations in Java & Python3, helping you enhance your algorithmic and problem-solving skills. Explore the organized folders for various problem categories and use the code as a reference for your own LeetCode journey
Python
5
star
4

EDA-Datasets

Jupyter Notebook
3
star
5

Credit-Card-Fraud-Detection

Jupyter Notebook
2
star
6

Credit-Score-Estimator

A credit score is a numerical expression based on a level analysis of a person's credit files, to represent the creditworthiness of an individual. A credit score is primarily based on a credit report information typically sourced from credit bureaus. Lenders, such as banks and credit card companies, use credit scores to evaluate the potential risk posed by lending money to consumers and to mitigate losses due to bad debt. Lenders use credit scores to determine who qualifies for a loan, at what interest rate, and what credit limits. Lenders also use credit scores to determine which customers are likely to bring in the most revenue. The use of credit or identity scoring prior to authorizing access or granting credit is an implementation of a trusted system.
HTML
2
star
7

Twitter-Sentiment-Analysis

Python
1
star
8

Titanic-Insights

In this project, I analyze a dataset of Titanic passengers. I used a Jupyter Notebook with Python 3.x. The external libraries used are NumPy, Pandas, Seaborn, Matplotlib & PyForest
Jupyter Notebook
1
star
9

Machine-Learning

Jupyter Notebook
1
star
10

Leaflet-OpenStreetMaps

JavaScript
1
star
11

Coursera-ML--Python

Jupyter Notebook
1
star
12

Online-Resume

HTML
1
star
13

Geeks-For-Geeks-DSA-Solutions-Java

Java
1
star
14

Code-For-Fun

HTML
1
star
15

AutoExchange

JavaScript
1
star
16

react-apps

JavaScript
1
star
17

Mini-Java-Projects

Mini Projects Based on Java based Technologies like Java Servlets, Spring, Hibernate, Java Server Pages (JSP), Java Server Faces (JSF), Other Technologies used here are JavaFx, WSDF, XHTML and HTML
Java
1
star
18

Weather-App

Check the weather around you and all over the world at a glance. Rely on the accurate weather forecast and adjust your schedule to the weather coming in. You wonโ€™t even have to look out the window as the app will make you feel like you are already outside!
JavaScript
1
star
19

Minerva-Code-Analysis-Tool

Minerva is a Static Code Analysis Tool where a registered user registered through different social media sites like google, GitHub, Twitter can Upload his/her code from GitHub ,Stack Overflow and Get The Code Reviewed by experts
JavaScript
1
star
20

Machine-Learning-Notes

Python
1
star