st186/ObjectDetection_YOLOV5

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Created over 3 years ago
Updated over 3 years ago

st186/ObjectDetection_YOLOV5

st186

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We are going to train our open images dataset on YOLOv5

Detection-of-Breast-Cancer-using-Neural-Networks

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

DataScienceWithPython

I will post several tutorials and mini projects which I have made while studying Data Science course. I thought that this will be benificial for those who are new in the field of data science and this can just cater your needs as a Freshman.Do go through and try to contribute.Please feel free to pull a request.

Jupyter Notebook

Autonomous-Vehicle

This project is based on the paper by NVIDIA named Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

car_damage_detection

This repo contains a web app which determines whether a car is damaged or not and also recognizes which part is damaged

Jupyter Notebook

Satellite-Image-Data-Analysis-of-WIFIRE-using-numpy

WIFIRE is an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system integrates networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread. You can read more about WIFIRE at: https://wifire.ucsd.edu/ In this example, we will analyze a sample satellite image dataset from WIFIRE using the numpy Library.

Jupyter Notebook

Weather-Data-Clustering-Using-k-means

In this notebook, I will learn how to perform k-means lustering using scikit-learn in Python. I will use cluster analysis to generate a big picture model of the weather at a local station using a minute-graunlarity data. In this dataset, I have in the order of millions records. How do I create 12 clusters out of them? NOTE: The dataset that I will use is in a large CSV file called minute_weather.csv downloaded from: https://drive.google.com/open?id=0B8iiZ7pSaSFZb3ItQ1l4LWRMTjg

Jupyter Notebook

House-Price-Prediction-Using-Images-Texts

House Price Prediction using Images and Textual Data

Jupyter Notebook

Android-Login-and-Registration-App

Android Login and Registration App with database support

InternetBanking

Internet Banking is implemented using MySQL ,PHP,HTML and CSS. SHA Encryption is used to store passwords.

Predicting-Criminals

There has been a surge in crimes committed in recent years, making crime a top cause of concern for law enforcement. If we are able to estimate whether someone is going to commit a crime in the future, we can take precautions and be prepared. You are given a dataset containing answers to various questions concerning the professional and private lives of several people. A few of them have been arrested for various small and large crimes in the past. Use the given data to predict if the people in the test data will commit a crime. The train data consists of 45718 rows, while the test data consists of 11430 rows. The evaluation metric is precision score.

Jupyter Notebook