Pranab Bhadani's Projects
Mirror of Apache Airavata
Coded algorithms in python. Used various algorithm paradigm such as Dynamic Programming, Greedy Algorithm and Divide and Conquer approach.
Applied Ensemble techniques (Random Forest) and Feature Engineering to predict severity claim for AllState Insurance Project.
Example task UIs for Amazon SageMaker Ground Truth
Coded on Numpy, Pandas & Matplotlib for analyzing Data and its Visualization
This project is to forecast price and sale volume of a set of items using LSTM model
Applying GMM and Kmean clustering approach to find the different depth of the image.
applying gradient descent and further optimation using BFGS
classifying Image using CNN model.
Used Lucene API for indexing the set of documents
Applied K-mean Clustering using apache spark in Pyhton
KNN_Appromation to improve the time accuracy of the algorithm
A short tutorial to map biomedical free-text into UMLS concepts using MetaMap
Performed Injuries and Diagnosis Analysis from NEISS2014 Report using Numpy, Pandas and Matplotlib
Simple implementation of neural networks in python
Scratch implementation of PCA using Power iteration method
Websie
A small repository of projects built in my course, REST APIs with Flask and Python.
Applied search engine using PageRank Techniques using Hadoop/HBase
This repo contains the basic syntax of working with Tensorflow
Applied NLP techniques and SAS modelling to perform sentiment analysis on hotel reviews and build a model to predict hotel rating.
Applied GLM and logit model to predict Airline delay across US major airport and carrier
Application of LSTM on images to track the change in Pixel of windows screen saver over the screen and learn this pattern to simulate it movement.