630-sdm

630_actions_exercise

action630

actions-exercise

amazon-product-co-purchasing-network

Amazon Graph analysis

auto-trade

betiist

Betting Assist APp

blah-blah

branch-pro-test

branch protection test

branch-protect

branch-protect-auto

covid-yodha-portal

Covid Yodha acts as a platform for essential service providers and receivers in affected areas.

csci630-actions-

csci630-exercise

csic630-actions

data-base-for-enteries-using-tkinter-in-python

datav-isualization-with-matplotlib

data visual

dictionary-using-json

dog-walker-searcher

dynamic-convolutional-filters-for-cifar-10-classification

flask_template

A flask blogging template for practice

gamedie

630-quiz

groom-up

house_pricing_prediction_multilinear_regression

Problem Statement: Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc. Essentially, the company wants — To identify the variables affecting house prices, e.g. area, number of rooms, bathrooms, etc. To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To know the accuracy of the model, i.e. how well these variables can predict house prices.

image-restoration

imageslider

slider rider provider

isro-nowcasting-using-convlstm

Nowcasting refers to the short-term prediction of weather conditions, typically within the next few hours. This repository aims to leverage the power of ConvLSTM, which is a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, to forecast weather conditions at high spatiotemporal resolutions.

jenkins-test

kaggle_practice

This repo contains the note book just for practice

keras-contrib

Keras community contributions