Data Science 🧪 – Tony’s Blog ✍️

ML 1: String Cleaning

machine learning

With Python’s split() and strip()

Collaborative Filtering - Latent Factor Matrix (Part 1)

machinelearning

Creating Latent Factors Matrix using set of Users, Items and Ratings

Random Forests - Feature Importance Plot (Part 4)

machinelearning

Building a Feature Importance Plot in a few lines of code

Random Forests - Random Forest Classifier (Part 3)

machinelearning

Building a Random Forest Classifier with the Sklearn framework

Random Forests - Decision Tree Classifier (Part 2)

machinelearning

Building a Decision Tree Classifier from scratch and then a framework called Sklearn

Random Forests - OneR Classifier (Part 1)

machinelearning

Building a OneR classifier model from scratch

Tabular Deep-Learning Model

deeplearning

machinelearning

ai

Building a Deep-Learning Neural Network Model from scratch based on tabular data

Rectified Linear Unit (ReLU)

machinelearning

ai

mathematics

ReLU from scratch with Gradient Descent

Let’s Make Some Noise

machinelearning

ai

mathematics

A function to add gaussian noise

KAGG 2: A Basic NLP model - [Competition Version]

kaggle

datascience

nlp

Training my first NLP Model

KAGG 1: A Basic NLP model

kaggle

datascience

nlp

Training my first NLP Model

Neural Networks in a Spreadsheet (Attempt 1)

machinelearning

ai

mathematics

spreadsheet

A failed attempt to apply neural network concepts in a spreadsheet

Neural Network Basics (Part 3)

machinelearning

ai

mathematics

Creating the ReLU Function

Neural Network Basics (Part 2)

machinelearning

ai

mathematics

Optimising with Gradient Descent

Neural Network Basics (Part 1)

machinelearning

ai

mathematics

Manually fitting a Line (Quadratic Function) to a dataset

How To Setup a Kaggle API

kaggle

datascience

coding

Continuing my Data Science journey with Kaggle

How to Build and Deploy a Deep-Learning Multi-Classifier Web App (Part 3)

machinelearning

ai

Host a neural network app live on HuggingFace

How to Build and Deploy a Deep-Learning Multi-Classifier Web App (Part 2)

machinelearning

ai

Create a local neural network Gradio App

How to Build and Deploy a Deep-Learning Multi-Classifier Web App (Part 1)

machinelearning

ai

Create a simple neural network model

How to choose a different Deep-Learning Model Architecture

machinelearning

ai

Today I’ll go through how to find and test different deep-learning architectures from Pytorch Image Models (timm) library made available here by Ross Wightman and use them…

Saving a Fast AI Model

machinelearning

ai

This is a short tutorial to save (export) down a fast ai model (pkl file).

Deploying My First Live App & it’s a Neural Network!

machinelearning

ai

Embedding a classic Convolutional Neural Network (CNN) Gradio ‘Cat versus Dog’ classifier Gradio App, hosted on HuggingFace Spaces, into my Quarto Blog. What a mouthful!

Image Classifier 1: Noodles vs Rice

machinelearning

ai

Today I’ll be attempting to build my first deep learning image classifier to distinguish between rice and noodles using knowledge gained from Jeremy Howards Fast AI course

Post With Git Clone

test

Learning how git work and

this is a post initiated by cloning existing repo.

Post With Sample Jupyter Notebook

testing

Learning how quarto works with jupyter notebooks. This is a sample editted notebook from fastai.

Post Without Code

testing

Learning how to quarto blog.

Welcome To My Blog

testing

This is the first post in a Quarto blog. Welcome!