jayantj1j

Heart-rate-estimation-from-video-using-CNN

An attempt to measure heart rates in humans using camera-based remote photoplethysmography (RPPG) method

Computer-Security-homomorphic-image-encryption

albumentations

fast image augmentation library and easy to use wrapper around other libraries

Convolutional-neural-network

DBMS_Store

Dbms grocery store using java and sql

Decision_Tree_self-implemented_andmodule

This code works only when:- The features of dataset are discrete The last column of dataset must be the label or class (output) Missing data is not allowed

Movies-Recommendation-System

Movie recommendation system using collaborative filtering

Naive-Bayes-implemented-from-scratch-

Naive Bayes on iris dataset(self implemented not using sklearn)

US-airlines-tweets-analysis-from-customer-using-Naive-bayes

nltk library has been exploited for sentiment/feedback analysis from tweets.Model trained on approx11,000 feedbacks/tweets scraped.

Freshworks-DataStore

Built a file based key value datastore in python for CRD operations

Gradient-descent-using-Numpy

Calculating cost in regressions using gradient descent

Hacktoberfest

Add your pull request here for the hacktoberfest

Imagenet_pics-downloader

Just enter the sysnet Id corresponding to the Image class you want to download.It will create folder--split it in train,test&validation --and downloads images in the batch of 700,100&300 respectively.Also,the URLs of images are saved in csv file

Implementing-PCA-and-checking-on-housing-dataset

Using PCA to visualize and reduce dimensions of a dataset

kalman-filter

MIDAS_TASK

midas task completed

ml-class-assignments

Programming Exercises on http://ml-class.org

MongoDB_aggregation_framework

Using mongoDB to query mflix database of movies totaling 40k+

my-first

Neural-net-implemented-from-scratch

with and without hidden layer implementation

SDE-Interview-Questions

Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

starter-hugo-academic

Studentadmission_prediction_usingneuralnets

whether a student is admitted or not to UCLA based on gre,gpa and classrank

SVM-and-Kmean-clustering

Tensorflow_testing

Tested and performed on MNIST dataset

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Text-report-classification

Using Mulitnomial NaiveBayes(self implementing) to distinguish report based on word dictionary formed from training existing dataset files count=800 on each class(total distinct classes=20).accuruacy reported around 72% using 3000 words as dictionary.Use dataset from link

Transfer-learning

udacity

Visualization-using-graphs-in-python

matplotlib is a python library used to draw figures and graphs. We will be using matplotlib.pyplot to draw graphs. We will be drawing different types of graphs like line graph, bar graph, pie charts, etc. and adding styles, colours, legends, title, etc in these graphs.