Sudhir Rai's repositories
Digital-Clock-in-Python
Create Digital clock in Python using Tkinter
Binary-jump
Given a base-10 integer, , convert it to binary (base-2). Then find and print the base- 10 integer denoting the maximum number of consecutive 's in 's binary representation.
Web-Scarpping-using-Python
Web Scrapping is a technique of extracting information from websites using computer software or applications. The objective of this exercise is to acquire data using a Python with help of BeautifulSoup.
D3-Data-Visulaization
By using of HTML, SVG, CSS, JavaScript, Github , sales data is visualized in web browser and different harmonic sound assigned.
Decision-Tree-and-K-means-clustering-analysis-using-R-
Below are the objectives of the exercise 1)Data retrieval 2)Data pre-processing 3) Decision Tree using R
Decision-Tree-and-K-means-clustering-analysis-using-R-and-visualizing-results-through-Tableau.
Integrated Analysis - Decision Tree and K-means Clustering using Tableau & R
github-slideshow
A robot powered training repository :robot:
Integrated-Analysis---Decision-Tree-and-K-means-Clustering-using-Tableau-R
on Decision Tree and K-means clustering analysis using R and visualizing results through Tableau.
Loan-Prediction--Eligibility-status
Dream Housing Finance company deals in all home loans. They have a presence across all urban, semi-urban and rural areas. Customers first apply for a home loan after that company validates the customer's eligibility. The company wants to automate the loan eligibility process (real-time) based on customer detail provided while filling online application form.
Multi-Charts-using-QlikView
Visualizing data using multi maps aka Trellis maps. We will create these maps to track youth employment, income and expenditure trends over the years globally. Youth employment, income, and expenditure are key factors in identifying new markets for business
Visualize-the-data-set-using-PowerBI-tool
Visualize the largestCities data set using PowerBI tool by formatting the data using python.
D3---Visulaization
Visualize university’s food data using D3
BlackJack--Python
Blackjack Game - Python
Car-Game-in-Python
Car Game in Python using Pygame and Tkinter
Classification---Customer-Churn-Prediction
The objective of the project is to classify whether the customer will Churn or not for the Telecom Company
Extract-Geo-Location-using-python-Last
Geocoding is the process of transforming a description of a location (such as a physical address, or a name of a place) into a pair of latitude and longitude on the Earth's surface for that place. It also refers to converting geographic coordinates to a description of a location (such as an address), this is often called reverse geocoding. In this tutorial, we will learn how to do both with the help of GeoPy library in Python. GeoPy is a Python client that provides several popular geocoding web services, it makes it easy for Python developers to locate the coordinates of an address, a city, or a country and vice-versa.
Predicting-the-Price-of-the-house-for-King-county
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. https://www.kaggle.com/mayanksrivastava/predict-housing-prices-simple-linear-regression/data
QuickChatBot
Quick Chatbot trained with predefined dataset of chatterbot_corpus in python
Sentiment-Analysis-of-Twitter-feed-SAP-HANA-Lumira-
Data Visualization Using SAP Lumira Server- Twitter Data being analysed
TIC-TAC-TOE-in-Python
Its basic simple famous game Tic Tac Toe which is built with help of Python. Where different function are defined and game conditions are checked