cristianexer – 📔 Notebooks

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Confidence Levels: Exploring Probabilities in Explainable Large Language Models

Data Science

Large Language Models

In this blog post, we delve into the inner workings of large language models (LLMs) and explore a novel approach to enhancing their explainability. By visualizing the probabilities associated with each generated word, we aim to gain insights into the model’s confidence levels and understand how they might impact the overall quality of the generated text. This research-oriented exploration not only sheds light on the decision-making process of LLMs but also paves the way for more transparent and trustworthy natural language generation systems.

LLMs: Embeddings to Text

Data Science

Machine Learning

Python

Generative AI

Natural Language Processing

Large Language Models

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

Analysing Social Networks

Data Science

Social Networks

NetworkX

Python

Community Detection

Graph Theory

Graph Analytics

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

Learning to Rank

Machine Learning

Ranking

Recommender Systems

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

Data Science

Statistics

Probability

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 ?

Data Science

Stock Market

Sentiment Analysis

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

Data Science

Machine Learning

Deep Learning

Autoencoders

Fraud Detection

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

Data Science

Machine Learning

Deep Learning

Autoencoders

Fraud Detection

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

How to apply the right statistical test to your data

Data Science

Statistics

Hypothesis Testing

Statistical Testing

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

Image Segmentation on Skin Cancer Images

Image Segmentation

Skin Cancer

Deep Learning

Computer Vision

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

Airbnb Pricing Optimization

Data Science

Machine Learning

Python

Data Analysis

Data Visualization

Portfolio 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

Machine Learning

PyTorch

Titanic

Neural Network

Deep Learning

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

Anomaly Detection on Wine Quality

Machine Learning

Anomaly Detection

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

Exploring Facebook 2019 533M Leaked Data

Data Science

Data Analysis

Data Visualization

Exploratory Data Analysis

Exploring Facebook 2019 533M Leaked Data with Python and Pandas

Exploring the Novel Coronavirus (COVID-19) Dataset

Data Science

COVID-19

Exploratory Data Analysis

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

Learning about Caesar Cipher

cryptography

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

Learning about Recommendation Systems with Anime Data

Machine Learning

Ranking

Recommender Systems

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

Learning PyTorch

Machine Learning

PyTorch

Deep Learning

Using this notebook to learn PyTorch and its applications

Topic modeling on Tweets data

NLP

Topic Modeling

LDA

word2vec

Gensim

Spacy

NLTK

Python

Using LDA to find topics in tweets