Pinned Repositories
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
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.
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
Machine-Learning-with-R-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
Optimization-Methods-Explained
Gradient Descent, Batch Gradient Descent, ADAM, RMSProp
Taxi-Fraud-Analysis
This project is scoped to analyze a big data set of a famous taxi ride sharing service. Extensive exploratory and segmentation analysis is performed to identify various fraud events that might happen.
Jaganatha's Repositories
Jaganatha/Optimization-Methods-Explained
Gradient Descent, Batch Gradient Descent, ADAM, RMSProp
Jaganatha/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%
Jaganatha/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
Jaganatha/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Jaganatha/Convolutional-Neural-Networks-from-scratch-in-Python
Jaganatha/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
Jaganatha/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.
Jaganatha/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
Jaganatha/Taxi-Fraud-Analysis
This project is scoped to analyze a big data set of a famous taxi ride sharing service. Extensive exploratory and segmentation analysis is performed to identify various fraud events that might happen.
Jaganatha/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
Jaganatha/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.
Jaganatha/Gradient-Checking
Jaganatha/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.
Jaganatha/Hyper-parameter-tuning---Regularization
Regularization - to address Variance problem in Machine Learning Models
Jaganatha/Image-Classification-using-Deep-Neural-Networks-in-Python
Deep Learning
Jaganatha/Improvise-Jazz-Solo-music-using-Deep-Learning
Fun Application
Jaganatha/Keras-Tutorial-for-Beginners
Jaganatha/Logistic-Regression-Explained-with-a-Neural-Network-Mindset
Jaganatha/Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Jaganatha/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.
Jaganatha/NLP-using-Pretrained-Models-and-word-Embeddings
Jaganatha/Parameter-Initialization-methods-explained
Weights initialization methods such as He initialization explained
Jaganatha/Planar-Data-Classification
Jaganatha/Python-Numpy-Basics-Tutorial
Numpy - Easily Explained
Jaganatha/Recurrent-Neural-Networks-Explained
Recurrent Neural Networks Built from scratch in Python
Jaganatha/Residual-Neural-Networks-Explained-using-Keras-Framework-in-Python
Jaganatha/spark-nlp
State of the Art Natural Language Processing
Jaganatha/Tensorflow---Image-Classification-Application
Jaganatha/Tensorflow-Tutorial-for-Beginners
Jaganatha/Word2Vec-Explained