Pinned Repositories
Blog_API
Mini Blog Application using DRF, REST API and JWT Authentication.
AMAZON_PRICE_TRACKING
PYTHON CODE TO TRACK A PRODUCT PRICE IN AMAZON
Banking-ATM-project
An simple program to handle ATM Machine
WebAutomation_Selinium
Automation_OSLib_Environment_Variable
Robot Framework code for Automating Environment Variables Path.
DRS-Review-System-Third-Empire-decision-
DRS Review System, Python code for Third empire decision
best-of-web-python
🏆 A ranked list of awesome python libraries for web development. Updated weekly.
Big_O-_DSA
BOSTAN-DATA-SET
This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. It was obtained from the StatLib archive (http://lib.stat.cmu.edu/datasets/boston), and has been used extensively throughout the literature to benchmark algorithms. However, these comparisons were primarily done outside of Delve and are thus somewhat suspect. The dataset is small in size with only 506 cases. The data was originally published by Harrison, D. and Rubinfeld, D.L. `Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Dataset Naming The name for this dataset is simply boston. It has two prototasks: nox, in which the nitrous oxide level is to be predicted; and price, in which the median value of a home is to be predicted Miscellaneous Details -Origin The origin of the boston housing data is Natural. -Usage This dataset may be used for Assessment. -Number of Cases The dataset contains a total of 506 cases. -Order The order of the cases is mysterious. -Variables There are 14 attributes in each case of the dataset. They are: CRIM - per capita crime rate by town ZN - proportion of residential land zoned for lots over 25,000 sq.ft. INDUS - proportion of non-retail business acres per town. CHAS - Charles River dummy variable (1 if tract bounds river; 0 otherwise) NOX - nitric oxides concentration (parts per 10 million) RM - average number of rooms per dwelling AGE - proportion of owner-occupied units built prior to 1940 DIS - weighted distances to five Boston employment centres RAD - index of accessibility to radial highways TAX - full-value property-tax rate per $10,000 PTRATIO - pupil-teacher ratio by town B - 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town LSTAT - % lower status of the population MEDV - Median value of owner-occupied homes in $1000's -Note Variable #14 seems to be censored at 50.00 (corresponding to a median price of $50,000); Censoring is suggested by the fact that the highest median price of exactly $50,000 is reported in 16 cases, while 15 cases have prices between $40,000 and $50,000, with prices rounded to the nearest hundred. Harrison and Rubinfeld do not mention any censoring.
Built-Jarvis-with-Python
Building a Jarvis Machine using Python
JuttugaRakesh's Repositories
JuttugaRakesh/JuttugaRakesh
My personal Repo
JuttugaRakesh/Python
JuttugaRakesh/kiransagar1
JuttugaRakesh/recipe_app_api
Recipe API project
JuttugaRakesh/profiles_rest_api
JuttugaRakesh/git_demo
JuttugaRakesh/Big_O-_DSA
JuttugaRakesh/ReactJS_Django
JuttugaRakesh/best-of-web-python
🏆 A ranked list of awesome python libraries for web development. Updated weekly.
JuttugaRakesh/Pygame_Snake
JuttugaRakesh/Gully-Premier-League
JuttugaRakesh/Blog_API
Mini Blog Application using DRF, REST API and JWT Authentication.
JuttugaRakesh/AMAZON_PRICE_TRACKING
PYTHON CODE TO TRACK A PRODUCT PRICE IN AMAZON
JuttugaRakesh/Leave_Register
JuttugaRakesh/News_Portal
JuttugaRakesh/To_Do_List
JuttugaRakesh/WebAutomation_Selinium
JuttugaRakesh/Automation_OSLib_Environment_Variable
Robot Framework code for Automating Environment Variables Path.
JuttugaRakesh/Covid19_Status_Live-_Python-
This program is to check Covid 19 live status using Python Program
JuttugaRakesh/Screenshot-With-Python
JuttugaRakesh/Calculator
Personal Calculator
JuttugaRakesh/DRS-Review-System-Third-Empire-decision-
DRS Review System, Python code for Third empire decision
JuttugaRakesh/Speech-Recognition-Python
JuttugaRakesh/Built-Jarvis-with-Python
Building a Jarvis Machine using Python
JuttugaRakesh/Banking-ATM-project
An simple program to handle ATM Machine
JuttugaRakesh/Git_Github
JuttugaRakesh/BOSTAN-DATA-SET
This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. It was obtained from the StatLib archive (http://lib.stat.cmu.edu/datasets/boston), and has been used extensively throughout the literature to benchmark algorithms. However, these comparisons were primarily done outside of Delve and are thus somewhat suspect. The dataset is small in size with only 506 cases. The data was originally published by Harrison, D. and Rubinfeld, D.L. `Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Dataset Naming The name for this dataset is simply boston. It has two prototasks: nox, in which the nitrous oxide level is to be predicted; and price, in which the median value of a home is to be predicted Miscellaneous Details -Origin The origin of the boston housing data is Natural. -Usage This dataset may be used for Assessment. -Number of Cases The dataset contains a total of 506 cases. -Order The order of the cases is mysterious. -Variables There are 14 attributes in each case of the dataset. They are: CRIM - per capita crime rate by town ZN - proportion of residential land zoned for lots over 25,000 sq.ft. INDUS - proportion of non-retail business acres per town. CHAS - Charles River dummy variable (1 if tract bounds river; 0 otherwise) NOX - nitric oxides concentration (parts per 10 million) RM - average number of rooms per dwelling AGE - proportion of owner-occupied units built prior to 1940 DIS - weighted distances to five Boston employment centres RAD - index of accessibility to radial highways TAX - full-value property-tax rate per $10,000 PTRATIO - pupil-teacher ratio by town B - 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town LSTAT - % lower status of the population MEDV - Median value of owner-occupied homes in $1000's -Note Variable #14 seems to be censored at 50.00 (corresponding to a median price of $50,000); Censoring is suggested by the fact that the highest median price of exactly $50,000 is reported in 16 cases, while 15 cases have prices between $40,000 and $50,000, with prices rounded to the nearest hundred. Harrison and Rubinfeld do not mention any censoring.
JuttugaRakesh/data