Predicting the customers leave/stay event with Artificial Neural Network, on bank customer data.

Recognising cats and dogs in images using CNN with Tensor Flow library.

Implementing an NLP model to understand restaurant reviews and predict the positive/negative factor with Bag of Words Model.

Selecting the ads to run on a website with maximum yield of customer clicks. The success distribution of ads is calculated with Thompson Sampling Reinforcement algorithm, which actions the explorat…

Selecting the ads to run on a website based on the distribution of customer clicking on it. The distributions of the ads are explored and exploited using a Reinforcement algorithm, UCB.

Mining association rules for smaller datasets using Eclat (Equivalence Class Clustering and bottom-up Lattice Traversal).

Mining association rules within a dataset for frequent items, using Apriori.

Clustering data items with Agglomerate Hierarchical Clustering. Utilising Dendrograms.

Classifying purchase events based on majority vote from various decision trees generated with K random points.

Classifying purchase event data with Decision Tree built on previous data points, predicting relations between age, salary and purchase event.

Classifying purchase events with introduction of dimensions to linearly separate the data points. The SVM algorithm uses Radial basis Function (RBF) Kernel.

Classifying customer purchase event, with supporting vector data points containing age and salary information using Support Vector Machine algorithm.

Classifying the customer purchase event using K-Nearest Neighbour, based on their age and salary.

Calculating the probability of customers purchasing a product from a social media ad, based on their age and salary, using Logistic Regression. Python.

Bachelors' dissertation project - The development of a portfolio website which gathers public information about a person from web scraping and social media links.

Implementing Depth First Search to find minimum distance within cities. C++

Implementing Depth First Search to find minimum distance within cities. Python

Implementing Breadth First Search for minimum distance between cities. C++

Implementing the classic Tic Tac Toe game using Minimax recursive algorithm. Python

Calculating the most probable output with Naive Bayes Classifier, as it assumes the attributes are not related to each other. This code determines whether a person is a male or female based on meas…

Clustering data items with height, weight and foot size into clusters with K-means, utilising Python.

Finding the least expensive path with A* search in C++.

Implementing concurrent Quick Sort with #pragma omp

Generate a token table for a given file using Unix Lex.

Counting of number of lines, words and letters using Unix Lex.

Counting number of lines, words and letters in a give input file using C++.

The Knapsack problem dictates placement of weighted items with gains in a limited capacity knapsack to maximise the gain.

The eight queens problem statement dictates placement of eight chess queens on an 8×8 chessboard so that no two queens threaten each other; thus, a solution requires that no two queens share the sa…

Recursive Search of numerical items in a list. Java

Recursive Search of numerical items in a list. C++