yaqoobd Goto Github PK
Name: YAQOOB DAVID
Type: User
Company: Lovehoney Group
Bio: 🔢 Number Enthusiastic.📢 Good Listener.👨🏽🍳 Occasional cook. 📸 Mediocre Photographer.
Location: Berlin, Germany
Name: YAQOOB DAVID
Type: User
Company: Lovehoney Group
Bio: 🔢 Number Enthusiastic.📢 Good Listener.👨🏽🍳 Occasional cook. 📸 Mediocre Photographer.
Location: Berlin, Germany
University-backed artificial intelligence courses
Course Files for Complete Python 3 Bootcamp Course on Udemy
A customer service chatbot created using Langchain and OpenAI's GPT-3.5 turbo model.
E-commerce has become an integral part of modern life, enabling us to purchase a wide range of goods and services online. As part of the Advance Software Engineering course, I developed a basic e-commerce website. The course has been immensely helpful in enhancing my knowledge and skills in this area, and I hope that my project will benefit others.
customer service chatbot using OpenAI's GPT models and Python.
Germany is facing a housing crisis with various causes, including population growth and slow construction. The government aims to build 50,000 more units and create a new ministry to oversee the issue. Data cleaning, visualization, and feature engineering were used to predict house costs and compare models.
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
In our recent analysis, we worked with the TMBD Movies dataset, focusing on factors such as popularity, revenue, and runtime.
The King County House Sales dataset provides information on house sales in King County, which encompasses the city of Seattle. This dataset covers the period between May 2014 and May 2015 and includes details on the homes that were sold during this time.
In this project I will be utilizing the Brain Tumor Classification dataset, which contains a variety of brain imaging scans that are labeled as either tumorous or non-tumorous. Our primary objective is to develop a deep learning model that can accurately recognize and categorize these images based on their classification labels.
Our project involves collecting recent technology news from various sources and applying NLP techniques to analyze the most common technology trends. We'll be using topic modeling, an unsupervised machine learning approach that clusters documents to identify topics based on their content.
The OpenCV-Face-And-Eye-Detection-In-Flask-Web-Framework project demonstrates how to integrate face and eye detection using OpenCV into a Flask web application. It utilizes the Haar Cascades classifier for object detection and is intended for anyone interested in learning how to implement OpenCV object detection in a Flask web app.
The purpose of this analysis is to forecast the revenue and number of unique patients for a clinic in the year 2023 based on the available data from previous years.
Accurately predicting the number of bikes required each hour is critical to ensuring a stable supply of rental bikes and reducing waiting times. To achieve this goal, we will employ several machine learning algorithms to forecast bike demand.
I showcase a few visualizationsI developed through participation in Makeover Monday and Workout Wednesday challenges. These weekly challenges require participants to create engaging data stories using tools like Tableau, Power BI, and others. By taking part in these challenges, I gained valuable experience in effectively communicating data.
This dataset contains information on the top 250 movies listed on the official website of IMDB, sorted by their IMDB rating.
This project is a simple implementation of video streaming using the Flask web framework and the webcam on your computer. It is intended as a learning resource for those interested in web development and computer vision
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.