jaganatha Goto Github PK

autonomous-car-driving-detection-system-using-deep-learning-tensorflow-and-keras-

This project builds on top of the YOLO algorithm to detect cars in the images captured and segmented with an accuracy of 90%

aws-redshift-using-iac

As we work on a large scale cross functional data warehousing and migration projects, IAC is a quite handy way to plan, architect, scale and monitor the data warehousing & cloud computing resources. Here is a detailed description of how we can create redshift clusters in AWS using IAC

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convolutional-neural-networks-from-scratch-in-python

courses

fast.ai Courses

courses-1

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-19-data-etl

This project is about creating an ETL pipeline where the json files are converted into pandas dataframe and an ETL pipeline is built to load the data into PostGresSQL

data-modelling-and-etl-in-postgres-using-python

using psycopg2, pandas, numpy and other supportive libraries, complex ETL performed from JSON files and queries. Structured tests carried out in a similar production-test environment fashion at every stage of the ETL process

data-modelling-in-apache-cassandra-using-python

The projetc involves developing data models inorder to load data from JSON into NoSQL database - Apache Cassandra, a partition row database.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

extensive-data-cleaning-intel-dpdk-mailing-list-

The .py file contains scripts and function to clean and remove all noisy elements in a Software development mailing list such as system path, URL's, shell and Python Scripts and other special characters. This cleaning is done to extract on the Natural Language from the conversations to execute sentiment analysis inorder to study the affective states of the community members

face-recognition-using-deep-learning

This project is an initial phase prototype of an automated attendance registry system where the camera automatically captures the picture of each person entering the building and marks attendance in the database.

gradient-checking

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hyper-parameter-tuning---regularization

Regularization - to address Variance problem in Machine Learning Models

image-classification-cifar10-tf

Simple Image Classification Models for the CIFAR-10 dataset using TensorFlow

image-classification-using-deep-neural-networks-in-python

Deep Learning

improvise-jazz-solo-music-using-deep-learning

Fun Application

keras-tutorial-for-beginners

logistic-regression-explained-with-a-neural-network-mindset

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mlbox

MLBox is a powerful Automated Machine Learning python library.

models

Models built with TensorFlow

nlp-neural-machine-translation-using-deep-learning-and-attention-model-

This project involves creating an unique product to collage N photographic features of images into 1 image thus capturing all the essential and vibrant spectrum of all the images.

nlp-using-pretrained-models-and-word-embeddings

optimization-methods-explained

Gradient Descent, Batch Gradient Descent, ADAM, RMSProp

parameter-initialization-methods-explained

Weights initialization methods such as He initialization explained

planar-data-classification

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera