pranaysingh25 Goto Github PK

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.

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.

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.

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

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

fish-predict-app

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.

lab1

This is a repository

lab2

machine-vision

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.

mushroom-edibility

predict the edibility of mushrooms

pricecomparison

Compare online prices of recognised objects in an image upload by the user.

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.