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Gagan G M 's Projects

book-recommendation-system icon book-recommendation-system

About Book Crossing Dataset This dataset has been compiled by Cai-Nicolas Ziegler in 2004, and it comprises of three tables for users, books and ratings. Explicit ratings are expressed on a scale from 1-10 (higher values denoting higher appreciation) and implicit rating is expressed by 0.

code-player icon code-player

Code Player - Similar to codepen.io which would results an output based on the programming language is inputted. Currently support CSS, HTML and JavaScript Languages.

crest-api icon crest-api

A project on REST API, it's been developed in Python language with flask framework and is also incorporated with JavaScript, HTML and CSS languages.

cureassist icon cureassist

This model predicts the similar symptoms based on the symptoms given to the model algorithm.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dogs-vs.-cats icon dogs-vs.-cats

An algorithm to classify whether images contain either a dog or a cat using Keras.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

flixdb icon flixdb

FlixDB shows IMDB Top Rated Movies which are available on Netflix India.

flixdb-1 icon flixdb-1

FlixDB shows IMDB Top Rated Movies which are available on Netflix India.

gender-recognition icon gender-recognition

A ML project to predict the gender of the person from the voice analysis. Dataset has been obtained from the kaggle and also included in this repository. Basic SVM (linear kernel) gives the accuracy ~ 97.8%.

human-weight-lifting-recognition icon human-weight-lifting-recognition

In this project goal is to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways. The five ways are exactly according to the specification (Class A), throwing the elbows to the front (Class B), lifting the dumbbell only halfway (Class C), lowering the dumbbell only halfway (Class D) and throwing the hips to the front (Class E). Only Class A corresponds to correct performance. The goal of this project is to predict the manner in which they did the exercise, i.e., Class A to E. For more information refer to the website: <http://groupware.les.inf.puc-rio.br/har> (see the section on the Weight Lifting Exercise Dataset).

loan-prediction icon loan-prediction

To predict the approval status of loan (Approved/Reject) related with a mortgage loan.

locale-v1 icon locale-v1

Locale Task - Kindly read the About App page first.

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