This project is a demonstration of building a CNN in Python to detect if cracks are present in the image. It uses Keras framework.
This packet is a simple offline dictionary in Python. It uses JSON data which is provided with the code.
The main aim of this project is to predict the insurance claim by each user that was billed by a health insurance company in Python using scikit-learn.
In this project, we do sentiment analysis on IMDB dataset available on keras using LSTM.
The packet allows us to search any company by name or address, then takes all the results from Zaubacorp.com and puts them in a excel file with all the necessary details about the company.
This packet is web file explorer with google drive like User Interface. With built in video player and image viewer and a terminal to execute command on a remote host.
This project is demonstration of simple linear regression in Python using scikit-learn on real world problem of predicting car prices.
In this project, a movie recommendation system is created using RecommenderLab library in r.
This script is written in python3 and scraps proxy lists from various websites and sorts tham by time taken. these proxies can be directly used to for scraping or other tasks.
This project aims to create a tool using Python & Tesseract OCR that identifies words in any given image and counts the occurences of any given target word.
In this project, I have analyzed and created a model to sort the tweets based on the words used. I have used Python for this project
This code takes the input array from user and sort it using the heap sorting algorithm (most time and space efficient) , shows the process of heap sort and gives the final sorted array list.