Compilation of activities and projects given to members of the Computer Vision Group

This repository is made following the course by Sir Jose Portilla, and focuses on Supervised Machine Learning algorithms. I studied all these concepts in December 2023

Repository consisting of the notebooks I worked on to submit my courseworks at Royal Holloway

notebooks Google Colab

List of Kaggle notebooks

4th year ODD semester Industrial Attachment related notebooks.

KNN Classifire by using Python and Jupyter NoteBooks

Data preparation and analysis notebook to use in customer segmentation

Digits Clasification with KNN using scikit-learn (Notebook in spanish)

Diabetes prediction using KNN-Classifier algorithm. Step by step guided notebook

These notebooks contain advanced analysis of ML models of different kind of datasets

I created this notebook to training my datascience skills, ssing different automatic learning models

This repository contains jupyter notebook files of the exercises and short projects and sql query exercises.

This repository features a Python K-Nearest Neighbors (KNN) implementation from scratch, with an explanatory notebook. See KNN in action on the Iris dataset and explore data visually in a dedicated notebook. A hands-on guide to understanding and applying KNN!

Perform classification using K-Nearest Neighbour, Logistic Regression and SVM on the Fashion MINST dataset using Tensorflow, Python and Jupiter notebooks

This repository contains a notebook that examines the performance of various classification models on the Kaggle dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data. The best performing model was a Random Forest Classifier with 86.67% accuracy.

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

A Machine Learning research on Deep Learning-based models like Decision Trees, Neural Networks, KNN using pure-Python tools like pandas, numpy, matplot, sklearn, tensorflow, kareas and Jupyter Notebook

A Deep Learning Diabetes Prediction Model implemented as a Jupyter Notebook that employs various machine learning techniques to predict the likelihood of diabetes based on a set of features.