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8-puzzle-ai

This is Artificial Intelligence project which solves the 8-puzzle problem using DFS

ahmedabad-house-renting

air-quality-index--aqi-

predicting Air quality index using different regression algorithms and ANN

cars_price_prediction_model

google colab notebook to predict the price of cars using supervised machine learning

clothes-cnn

This repository contains a Convolutional Neural Network (CNN) trained for clothing classification using transfer learning with the Xception model. The model is capable of classifying different types of clothing, such as T-shirts, pants, shorts, etc.

full-stack-assignment

i have made changes to the code as mentioned in the comments

mlbookcamp-code

The code from the Machine Learning Bookcamp book

neural-net-from-scratch

making Neural net from scratch implementing backward pass, gradient descent and running it on a small dummy data

nuclei-semantic-segmentation

Did the semantic segmentation of nucleus in a cell using U-net made from tensorflow functional API

point-processing-image-enhancement

This repository contains a Python program for performing point processing-based image enhancements on images. Point processing refers to enhancing images by applying pixel-wise transformations without considering neighboring pixels.

real-time-number-plate-detection

This project implements real-time object detection to identify vehicles and their associated number plates in live video streams. The system employs the YOLOv8 model trained on a custom dataset to accurately detect various objects, with a primary focus on detecting number plates. Once number plate is detected, EasyOCR is used to extract the text

stayinit

telco-churn-prediciton

In this Project i have used logistic regression for a classification problem(churn) , I have used the data of Telco telecom company and using the data i have predicted whether a customer would churn or not (churn means customer will stop using your services and opt out and no churn means customer will continue to use your services).

u-net

created a U-net for semantic segmentation task