Pinned Repositories
Deep-Learning-Specialization
FEED
Predicting-Corporate-Bankruptcy-using-Ensemble-Learning
Dissertation - University of Edinburgh
A-Natural-Language-Query-System
Using NLTK to construct a system that reads simple facts and then answers questions about them. A simple form of both machine reading and question answering. In the real world, such systems read large amounts of text (e.g. Wikipedia or news sites), populate database with facts learned from that text, and use the database to answer general knowledge questions about the world.
HackTheBurgh
AITankBot
GUH TankBot
Coinz-Android-App
COMN-UG3-Coursework
ConnectFour
AI bot to play connect four against
datasharing
The Leek group guide to data sharing
ishanparikh's Repositories
ishanparikh/FEED
ishanparikh/ishanparikh.github.io
ishanparikh/Predicting-Corporate-Bankruptcy-using-Ensemble-Learning
Dissertation - University of Edinburgh
ishanparikh/Titanic-Machine-Learning-from-Disaster
This is the legendary Titanic ML competition – the best, first challenge for you to dive into ML competitions and familiarize yourself with how the Kaggle platform works. The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
ishanparikh/Coinz-Android-App
ishanparikh/Deep-Learning-Specialization
ishanparikh/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
ishanparikh/TankBot
GUH TankBot
ishanparikh/MaintainMyCity
ishanparikh/fnlp
ishanparikh/IAML2018
Introductory Applied Machine Learning [Labs & CourseWork]
ishanparikh/AITankBot
GUH TankBot
ishanparikh/PDDL-Bartender
ishanparikh/ConnectFour
AI bot to play connect four against
ishanparikh/Machine-Learning-Classification
Classifier for EMNIST data set using KNN, Bernoulli naive Bayes classification and Bayes classification with Gaussian distributions
ishanparikh/MIPS-and-C-Programming
ishanparikh/Language-Processing-Pipeline-for-Micro-Haskell
The objective of this practical is to illustrate the language processing pipeline in the case of a small but interesting fragment of the Haskell programming language, which we shall call Micro-Haskell. The practical illustrates all stages of the language processing pipeline for program- ming languages, taking us from a source file, written in MH, to execution of the program. In our case, the pipeline has four stages: lexing, parsing, typechecking and evaluation. Your task is to provide language-specific material to assist with the first three stages: lexing, covered in Part A of the practical; parsing, covered in Part B; and typechecking, covered in Part C. A simple evaluator is provided for you.
ishanparikh/Imporving-Deep-Neural-Networks
Andrew Ng's DeepLearning.ai
ishanparikh/Logistic-Regression-with-a-Neural-Network-mindset-v4
a cat classifier that recognizes cats with 70% accuracy!
ishanparikh/datasharing
The Leek group guide to data sharing
ishanparikh/eth-guess-the-number-game
Smart contract implementing a gambling game where an operator submits a secret number and a player tries to guess it
ishanparikh/A-Natural-Language-Query-System
Using NLTK to construct a system that reads simple facts and then answers questions about them. A simple form of both machine reading and question answering. In the real world, such systems read large amounts of text (e.g. Wikipedia or news sites), populate database with facts learned from that text, and use the database to answer general knowledge questions about the world.
ishanparikh/HackTheBurgh
ishanparikh/Karatsuba-Ofman-Algorithm
ishanparikh/Salt-Analysis-Simulator
# Salt-Analysis First Year Computer Science project - salt analysis simulator To use: 1. Run preliminaries, dilute acid and concentrated acid tests 2. Add reagents to the reagent queue in the same order that you would to the test tube 3. Most chemicals must be added by formula (eg: H2SO4) but the following MUST be added as is: Copper Turnings, Paper Pellets, Magnesia Mixture, and so on as detailed in the manual. (You can also refer to the source code to find out the exact reagent names) 4. Once the reagent queue has been filled, choose to execute the test. (Tests that do not return positive will show no change in the observation list) 5. Once a test is done, remove reagents from the reagent queue (repeat until all reagents are removed) 6. Repeat from step 2 until ion is confirmed 7. Practice always helps!
ishanparikh/source-code-pro
Monospaced font family for user interface and coding environments
ishanparikh/jsonschema
An(other) implementation of JSON Schema for Python
ishanparikh/COMN-UG3-Coursework
ishanparikh/New-GithubTest
ishanparikh/SAS
Salt Analysis Simulator