Discover @st186 Open Source projects

Subham Tewari | themachinelearningguy (@st186)

st186

Stars
54
Global Rank 323,221 (Top 12 %)
Followers 30
Following 33
Registered about 9 years ago
Most used languages

Jupyter Notebook
63.6 %

MATLAB
9.1 %

Python
9.1 %

PHP
9.1 %

Java
9.1 %
Location 🇮🇳 India
Country Total Rank 10,705
Country Ranking

MATLAB
54

Jupyter Notebook
2,744

PHP
6,947

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

ObjectDetection_YOLOV5

We are going to train our open images dataset on YOLOv5

Jupyter Notebook

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