Pinned Repositories
Automatic-Image-Captioning
Built a CNN-RNN neural network architecture to automatically generate captions from images describing that image.
Breast-Cancer-Classifaction-Visualization
Built a machine learning model for Breast Cancer Classification using "Breast Cancer Wisconsin (Original) Data Set". I used various Machine learining models, the best accuracy was 96% with 9% log loss using Neural Networks.
Credit-Card-Fraud-Detection
A Machine learning model that detects Fraud Credit Card Transactions over a data set of anonymized credit card transactions labeled as fraudulent or genuine.
CTCI
Python Solutions of the problems covered in book "Cracking The Coding Interview"
Data-Structures-Python
This repository contains few of the question of Data Structures I has solved while learning it myself, using Python. It contains questions ranging from very basic to interesting ones. Topic wise.
Dog-Breed-Classifier
Constructed an algorithm that works on user supplied image. If a dog is detected, it estimates the breed of the dog, Trained using Transfer learning with CNN.
Face-Recognition-using-KNN-and-OpenCV
I prepared a dataset consisting of faces of my own friends in real-time, trained it using KNN and then tested the algorithm by running it against real-time test data in different lighting conditions.
Facial-Keypoint-Detection
Built a Facial Keypoints Detection Model using a Convolutional Neural Network(CNN) that takes in any image with faces, predicts the location of 68 distinguishing Keypoints on each face and marks them at correct position on the face. Facial keypoints include points around the eyes, nose, and mouth on a face
Generate-TV-Script-Using-RNN
Generated new TV scripts for Seinfeld using RNNs by training the model on Seinfeld dataset of scripts from 9 seasons. The Neural Network generated a new ,"fake" TV script, based on patterns it recognized in this training data.
IBM-Employee-Attrition-Analysis
Built a model using XGBoost that predicts the chances of Attrition of an employee working at IBM with 84% Precision.
pranaysingh25's Repositories
pranaysingh25/Facial-Keypoint-Detection
Built a Facial Keypoints Detection Model using a Convolutional Neural Network(CNN) that takes in any image with faces, predicts the location of 68 distinguishing Keypoints on each face and marks them at correct position on the face. Facial keypoints include points around the eyes, nose, and mouth on a face
pranaysingh25/Generate-TV-Script-Using-RNN
Generated new TV scripts for Seinfeld using RNNs by training the model on Seinfeld dataset of scripts from 9 seasons. The Neural Network generated a new ,"fake" TV script, based on patterns it recognized in this training data.
pranaysingh25/Dog-Breed-Classifier
Constructed an algorithm that works on user supplied image. If a dog is detected, it estimates the breed of the dog, Trained using Transfer learning with CNN.
pranaysingh25/Automatic-Image-Captioning
Built a CNN-RNN neural network architecture to automatically generate captions from images describing that image.
pranaysingh25/IBM-Employee-Attrition-Analysis
Built a model using XGBoost that predicts the chances of Attrition of an employee working at IBM with 84% Precision.
pranaysingh25/Breast-Cancer-Classifaction-Visualization
Built a machine learning model for Breast Cancer Classification using "Breast Cancer Wisconsin (Original) Data Set". I used various Machine learining models, the best accuracy was 96% with 9% log loss using Neural Networks.
pranaysingh25/Credit-Card-Fraud-Detection
A Machine learning model that detects Fraud Credit Card Transactions over a data set of anonymized credit card transactions labeled as fraudulent or genuine.
pranaysingh25/CTCI
Python Solutions of the problems covered in book "Cracking The Coding Interview"
pranaysingh25/Data-Structures-Python
This repository contains few of the question of Data Structures I has solved while learning it myself, using Python. It contains questions ranging from very basic to interesting ones. Topic wise.
pranaysingh25/Face-Recognition-using-KNN-and-OpenCV
I prepared a dataset consisting of faces of my own friends in real-time, trained it using KNN and then tested the algorithm by running it against real-time test data in different lighting conditions.
pranaysingh25/Experimental-Study-on-Dimensionality-Reduction-and-Data-Visualization
The project was based on Dimensionality Reduction Algorithms in which I used various compression methods to examined their dynamics in terms of speed and clustering efficiency.
pranaysingh25/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
pranaysingh25/fish-predict-app
pranaysingh25/Lab1
This is a repository
pranaysingh25/Lab2
pranaysingh25/Machine-Vision
pranaysingh25/ML-Algorithms-Implementation
In this repository I have done implementations of various machine learning algorithms from scratch such as Gradient Descent, KNN, Decision Tree, Neural net.
pranaysingh25/mushroom-edibility
predict the edibility of mushrooms
pranaysingh25/PriceComparison
Compare online prices of recognised objects in an image upload by the user.
pranaysingh25/Titanic-Survival-Prediction
A basic classification model based on Random Forest Classifier predicting the Titanic Disaster Survival for a set of test data. Data Structure provided by Kaggle.