deerishi

Automatic-Speech-recognition-ASR-

Feature vector for Automatic Speech recognition :Mel Frequency Cepstral Coefficient (MFCC)

Decision-Tree-in-Python-for-Continuous-Attributes

This code constructs a Decision Tree for a dataset with continuous Attributes. Each training instance has 16 numeric attributes (features) and a classification label, all separated by commas. In deciding which attribute to test at any point, the information gain metric is used. The node test threshold for each potential attribute is set using this same metric i.e. at each point, all the values that exist for a particular attribute in the remaining instances are ordered, and threshold values that are (half way) between successive attribute values are used to find the Information Gain. The threshold value that gives the highest information gain is used. The same attribute can be tested again later in the tree (with a different threshold).

ensemble-of-sarima-random-forests-and-gradient-boosting-trees

In this Project I use the Kaggle Bike sharing dataset to predict the sales of bike given a Multivariate Time series. I model the multivariate data using ensemble of Random Forests and Gradient Boosted trees. After that the residuals of the model are fit with an ARMA/ARIMA/SARIMA model and later forecasted. The residuals are later added back to the predicted values

genetic-algorithm-for-cnn

This project tunes a Convolutional Neural Network using a genetic algorithm for Image Classification.

graph-based-semi-supervised-learning

This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniques such as ITML and LMNN along with a few others are empirically evaluated on the 20 newsgroups dataset.

Hidden-Markov-Model

This Code Implements the Hidden Markov Model (Monitoring and the Viterbi Algorithm) in Python on a Time series Data.

Machine-learning-algorithms

SMO algorithim for training support vector machines,Independent component analysis,Principal Component analysis

Tic-Tac-Toe-Using-Alpha-Beta-Minimax-Search

This code demonstrates the use of Alpha Beta Pruning for Game playing. Since, Tic Tac Toe has a depth of 9 , I use a heuristic function that evaluates the Board State after searching through a depth of 3. The heuristic function calculates the expected score of winning for the PC given the board state.

tsp-using-simulated-annealing-c-

This code solves the Travelling Salesman Problem using simulated annealing in C++.

Viterbi-algorithm

The Viterbi algorithm is tagging algorithm based on TRIGRAM HIDDEN MARKOV MODELS (TRIGRAM HMMS)

deerishi/tsp-using-simulated-annealing-c-

This code solves the Travelling Salesman Problem using simulated annealing in C++.

deerishi/RNN-LSTM-GRUs-in-Tensorflow

A bidirectional RNN with LSTM/GRUs in Tensorflow for sentence classification

deerishi/algorithms

deerishi/Android-Mad-libs-app

A simple Mad libs game for Android

deerishi/circleci_practice

deerishi/CS343-assignments

CS343 Concurrent Parallel-Programming assignments

deerishi/cs656

deerishi/deerishi.github.io

deerishi/exordium

An Emacs configuration that will make your C++ IDE jealous.

deerishi/flask-app

deerishi/Friendsr-dating-app

CA 193A HW-3 and 4 Friendsr Dating app

deerishi/fullstack-roadmap-series

This series will take you from an absolute beginner to a fullstack developer for 2021 and beyond

deerishi/ghtorrent.org

The GHtorrent project website

deerishi/Github-Amazon-Mechanical-Turk-Project

deerishi/Grokking-System-Design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

deerishi/grokking-the-object-oriented-design-interview

deerishi/images

deerishi/keras

Deep Learning for humans

deerishi/mysite

deerishi/oeserver

deerishi/Santander-Product-Recommendation

deerishi/Skim-gram-word-vectors

This program trains the skip gram word vectors.

deerishi/Spark-Streaming-In-Scala

Apache Spark 3 - Structured Streaming Course Material

deerishi/SparkProgrammingInScala

Apache Spark Course Material

deerishi/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

deerishi/tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

deerishi/thesis

deerishi/To-do-list-app-in-Android

A simple to-do list app in Android. Longpress of an item on a list removes the item.

deerishi/Transformers-for-NLP-and-Computer-Vision-3rd-Edition

Transformers 3rd Edition

deerishi/uwpythonworkshop