saha350 Goto Github PK

automation-of-loan-prediction-and-eligibility

The Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers.

creating-network-and-enabling-telnet

TASK 1:

datspor

datsports

Our idea is to create an application framework that will provide facility to play betting game, watch and discuss different sports on same platform simultaneously.

develop-a-neural-network-that-can-read-handwriting

Begin your neural network machine learning project with the MNIST Handwritten Digit Classification Challenge and using TensorFlow and CNN. It has a very user-friendly interface that’s ideal for beginners.

exploratory-data-analysis-on-dataset---terrorism

This dataset on terrorism has been analyzed using Power bi for detecting the most places affected.

hundareshivani-task-1-prediction-using-supervised-ml

image-to-pencil-sketch-with-python

We need to read the image in RBG format and then convert it to a grayscale image. This will turn an image into a classic black and white photo. Then the next thing to do is invert the grayscale image also called negative image, this will be our inverted grayscale image. Inversion can be used to enhance details. Then we can finally create the pencil sketch by mixing the grayscale image with the inverted blurry image. This can be done by dividing the grayscale image by the inverted blurry image. Since images are just arrays, we can easily do this programmatically using the divide function from the cv2 library in Python.

india_census_2021_dataset-

This data is about total Population, Demography, Literacy, Districts, States, Workers, Religion, Education, Age. Here we also plot the India map to check whether all the states are present in the data.

java_program

This is simple java practice

metronics

A complete e-commerce site for electronics

mlh-local-hack-day-github-web-aws-session

Learn How to Collaborate with GitHub & how to quickly develop, build, and deploy your first website with Amazon Web Services.

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

network-creation-and-enabling-telnet

saha350

Config files for my GitHub profile.

subhraneel

taskuploader

uber_traffic_data_analysis

In this Power Bi project, all the data has been compared using different shifts and the delayed time. Here the range of the upper bound is also analyzed where the maximum upper bound is predicted in the morning shift compared to mid-day and evening shift. The delay time in morning (A.M.) and Evening (P.M.) ranges have also been predicted.