Benjamin Bakwenye's Projects
A set of scripts to grab public datasets from resources related to arXiv
Analyze central bank announcements
Course Files for Complete Python 3 Bootcamp Course on Udemy
code for Data Science From Scratch book
Mini-brain
Final project
Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Federal Reserve Bank - meetings minutes.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
👋 HOLA 👋 HOLA 👋 HOLA ! ENJOY OUR GOOGLE MAPS SCRAPER 🚀 TO EFFORTLESSLY EXTRACT DATA SUCH AS NAMES, ADDRESSES, PHONE NUMBERS, WEBSITES, AND RATINGS FROM GOOGLE MAPS WITH EASE! 🤖
Get all the necessary information from Google Maps by fetching the links from a csv file
Script to scrape data from Google Maps places.
Google Maps review scraper using selenium
predicting US Federal interest rate changes using the text of Fed press releases
Some templates of how to use Kaiko's API
In the past, our focus was on determining the likelihood of patients' mortality, but our current aim is to forecast the duration of their hospital stay.
Machine Learning for Finance, published by Packt
This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.
Forecasting order volumes for Glovo
Python Implementation of the CME FedWatch Tool for Estimating Probabilities of Federal Funds Rate Changes at Upcoming FOMC Meetings.
RAG enabled Chatbots using LangChain and Databutton
This is a simple script with python to scrap Google Maps reviews and ratings.
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.