st186
Computer Vision Consultant @ Upwork, Tech Mahindra. Former AI Solution Architect @ Pavo & Tusker Innovations. Mentor @ Coursera for deeplearning.ai.
The AI buddyIndia
Pinned Repositories
alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
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
Blockchain-Demo
Blockchain
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
complementary_label_learning
We will build a complementary label learning model on insurance data and MNIST data
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.
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.
ObjectDetection_YOLOV5
We are going to train our open images dataset on YOLOv5
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.
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
st186's Repositories
st186/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.
st186/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.
st186/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
st186/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.
st186/Android-Login-and-Registration-App
Android Login and Registration App with database support
st186/InternetBanking
Internet Banking is implemented using MySQL ,PHP,HTML and CSS. SHA Encryption is used to store passwords.
st186/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
st186/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.
st186/so-you-want-an-internship
for those seeking software engineering internships
st186/CollegeAdmission
Website for College Admissions
st186/data-science-curriculum
st186/EEG-Signal-Processing-using-Muse-headband
I will analyse EEG signals using Muse Headband
st186/Graphs-Algorithms
Some important problems related to Graphs
st186/Image-Captioning-using-InceptionV3
In this project I have used Flickr image dataset and Flickr raw image captioning of images.I have used InceptionV3 (transfer learning)
st186/Introduction-to-Deep-Learning-Coursera
Introduction to Deep Learning (Coursera) is conducted by National Research Institute.I will be posting the my assignments and my solutions
st186/PercolationProject
Solving Percolation Problem using Monte Carlo Simulation
st186/Predicting-overall-score-of-a-player-in-European-Soccer-League
I will again be using the open dataset from the popular site Kaggle This European Soccer Database has more than 25,000 matches and more than 10,000 players for European professional soccer seasons from 2008 to 2016.
st186/tech-interview-handbook
💯 Algorithms, front end and behavioral content for rocking your coding interview
st186/Weather-Classification-using-Decision-Tree
In this notebook I will predict weather using Decision Tree.
st186/Working-on-Movielens-DataSet
In this project I will be checking whether Thriller movies are rated higher than the movies of other genre