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📔 Latest Notebooks

LLMs: Embeddings to Text

In this short notebook we are exploring the capabilities of a relativly new concept called Text Embeddings Reveal

Analysing Social Networks

Analysing Social Networks using the Facebook Social Circles Dataset and the NetworkX Python library.

Learning to Rank

Learning to Rank is a class of techniques that apply supervised machine learning to solve ranking problems. It is widely used in information retrieval (IR), natural language processing (NLP), and recommender systems.

Learning Probability Distributions with Python

A quick introduction to probability distributions with Python, including the Bernoulli, Binomial, Poisson, Normal, and Exponential distributions.

Can we find any sentiments on Wall Street ?

Apply sentiment analysis on stock market news to find any correlation between the news and the stock price.

Using Autoencoders to Detect Credit Card Fraud

Using Autoencoders to Detect Credit Card Fraud, a Deep Learning approach to detect fraud in credit card transactions.

Tagging Wikipedia Articles with Multi-Label Classification

Tagging Wikipedia Articles with Multi-Label Classification, using Autoencoders and Deep Learning

How to apply the right statistical test to your data

A flowchart to help you choose the right statistical test for your data

Image Segmentation on Skin Cancer Images

Applying image segmentation on skin cancer images to identify the cancerous regions.

Airbnb Pricing Optimization

Optimizing Airbnb pricing using machine learning and data science techniques to maximize revenue for hosts.

Implementing a simple neural network with PyTorch to predict survival on the Titanic

A simple neural network with PyTorch to predict survival on the Titanic

Anomaly Detection on Wine Quality

Using Isolation Forest and Local Outlier Factor to detect anomalies in wine quality

Exploring Facebook 2019 533M Leaked Data

Exploring Facebook 2019 533M Leaked Data with Python and Pandas

Exploring the Novel Coronavirus (COVID-19) Dataset

Exploratory Data Analysis of the Novel Coronavirus (COVID-19) Dataset

Learning about Caesar Cipher

Caesar Cipher is a simple encryption technique that shifts the alphabet by a certain number of characters.

Learning about Recommendation Systems with Anime Data

Using the Anime Recommendation Dataset from Kaggle, I explore the different types of recommendation systems and how they work.

Learning PyTorch

Using this notebook to learn PyTorch and its applications

Topic modeling on Tweets data

Using LDA to find topics in tweets