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airbnb_dataset

Data Extraction and visualisation on the open source AirBnB dataset which contains data on properties in the state of NYC.

brain_tumour_segementation

Our aim is to leverage AI to enhance the precision of medical imaging, improving diagnosis, treatment planning, and monitoring of brain tumors.

cbc-global

CBC website

data_cleaning_n_visualization_netflix_dataset

The purpose of this experiment is to clean and effectively visualise The Netflix dataset which contains data from different movies and TV shows.

data_clusters_unsupervised_learning

deep_learning_for_computer_vision

This experiment displays hands-on experiences on Convolutional Neural Networks using LeNet's model trained on the MNIST dataset.

deep_learning_for_nlp

Deep Learning for Natural Language Processing

dimensionality_reduction_unsupervised_learning

The purpose of this experiment its to learn how to apply dimensionality reduction using Principal Component Analysis.

django2-starter-kitt

Use this to start any new Django project. It already has folders and files you'll likely need.

djangodev

This is my boiler plate for future Django projects.

ensemble_models_pima-indian_diabetes

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.

infinity-pay-crypto

it_management

Code for our IT Management Project

k_fold_cross_validation_in_scikit_learn

In this file the goal is to create a synthetic dataset to illustrate the usage of Sklearn's cross-validation iterator.

lecture0

linear_models_for_classification

Breast Cancer Diagnosis via Logistic Regression

linear_models_for_regression

Linear regression is a supervised learning technique used to find the relationship between dependent variable $y$ and one or more independent variables $x$ by fitting a corresponding line.

mercuoory

New Year Launch

mercuoory_crypto

neural_network_using_pytorch

As an introduction to Deep Learning the objective of this experiment is to train a Neural Network using PyTorch.

nnpcprofile

Profile for NNPC RTI

non_parametric_models

K-Nearest Neighbors (K-NN) is considered a non-parametric method because it doesn't make any assumptions about the underlying data distribution. Non-parametric methods are in contrast to parametric methods, which assume a specific functional form or distribution for the data.

proshopwebsite

Template for future e-commerce projects

rti-cards