Pinned Repositories
adxpillar.github.io
A beautiful Jekyll theme for academics
AI-stock-prediction
This project will attempt to use Artificial Intelligence (through an assortement LSTM, GAN models) to predict stock price movement.
Airbnb-price-determinants
Econometric analysis of the determinants of Airbnb rental price in New York City.
beatssofAfro
Afrobeats hit songs project
Data-Structures
GEA-challenge
Predict Genetic Engineering Attribution
Graphs
Graphs, BFS, DFS, connected components
OCR-NINslip
Extract cardholder's details from Nigerian National Identification slips in a structured format.
data-science
adxpillar's Repositories
adxpillar/OCR-NINslip
Extract cardholder's details from Nigerian National Identification slips in a structured format.
adxpillar/adxpillar.github.io
A beautiful Jekyll theme for academics
adxpillar/AI-stock-prediction
This project will attempt to use Artificial Intelligence (through an assortement LSTM, GAN models) to predict stock price movement.
adxpillar/Airbnb-price-determinants
Econometric analysis of the determinants of Airbnb rental price in New York City.
adxpillar/beatssofAfro
Afrobeats hit songs project
adxpillar/blogapp
Full-featured web app
adxpillar/buzz
Buzz transcribes audio from your computer's microphones to text using OpenAI's Whisper
adxpillar/cnn-detect-car-damage
Using Convolutional Neural Network and transfer learning to detect damage on a car and point out the location of the damage.
adxpillar/crypto-whale-watching-app
Python Dash app that tracks whale activity in cryptocurrency markets.
adxpillar/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
adxpillar/ETL-pipeline
Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.
adxpillar/Expense_tracker
Expense tracker
adxpillar/flask_store_front
store front flask app
adxpillar/FT-Brexit
NLP Real text analysis of Financial Times brexit articles published from 07/2018 to 02/2020.
adxpillar/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
adxpillar/gme-shortcount
How many times does "short-squeeze" appear in the GameStop Short Squeeze Wikipedia page?
adxpillar/investment-strategy
Automating investment strategy with python
adxpillar/lambdata-adx
Python module and package
adxpillar/listMart
A grocery shopping app
adxpillar/mylambdata-13
lambdata package
adxpillar/Restaurant-Data-Warehouse
Data warehouse with ETL pipelines built on AWS Redshift and S3, the tasks are orchestrated inside Apache Airflow and the entire infrastructure is containerized in docker. There is a tableau dashboard component for visualization and analytics.
adxpillar/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
adxpillar/sageMaker-pyTorch
Movie sentiment analysis project deployed in AWS SageMaker.
adxpillar/sageMaker-sklearn-model
Scikit-Learn plagiarism text detector model with predictor endpoint deployed on aws SageMaker.
adxpillar/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
adxpillar/submission
data repo
adxpillar/twitoff-13
adxpillar/Twitter-Bot-Detecttion-and-Analysis
This is a project of DATA130007.01 Social Network Mining(2021). We crawl Twitter data from 2020 us presidential election and try to analyze the effect of bots during this election.
adxpillar/us-pres-elections-2020
The repository contains a collection of tweets IDs associated with the 2020 U.S. Presidential Elections through 6 months post-inauguration.
adxpillar/yelpcamp