YaqoobD
🔢 Number Enthusiastic.📢 Good Listener.👨🏽🍳 Occasional cook. 📸 Mediocre Photographer.
Lovehoney Group Berlin, Germany
Pinned Repositories
david_ecommerce_website
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.
germany-rental-housing-prediction
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.
KC_houses_data_Analysis
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.
LFM_Brain-Tumor-Classification
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.
OpenCV-Face-And-Eye-Detection-In-Flask-Web-Framework
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.
tableau_projects
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.
YaqoobD's Repositories
YaqoobD/OpenCV-Face-And-Eye-Detection-In-Flask-Web-Framework
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.
YaqoobD/david_ecommerce_website
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.
YaqoobD/germany-rental-housing-prediction
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.
YaqoobD/KC_houses_data_Analysis
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.
YaqoobD/LFM_Brain-Tumor-Classification
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.
YaqoobD/tableau_projects
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.
YaqoobD/A_B-Testing
YaqoobD/artificial_intelligence_university_courses
University-backed artificial intelligence courses
YaqoobD/communicate_data_finding
YaqoobD/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
YaqoobD/Content-Based-Movie-Recommender-System-with-Heroku-Deployment
YaqoobD/credit-card-fraud-detection-Rapidminer
YaqoobD/CS_Chatbot
A customer service chatbot created using Langchain and OpenAI's GPT-3.5 turbo model.
YaqoobD/data_wrangling
YaqoobD/Email-SMS-Spam-Classifier-End-to-End-Project-Heroku-Deployment
YaqoobD/finetuned_chatbot
customer service chatbot using OpenAI's GPT models and Python.
YaqoobD/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
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
YaqoobD/Implementation-of-LLM-Model-LangChain-Framework-on-local-machine
YaqoobD/investigate-a-dataset-TMDb-Dataset
In our recent analysis, we worked with the TMBD Movies dataset, focusing on factors such as popularity, revenue, and runtime.
YaqoobD/news-reader-python
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.
YaqoobD/Revenue-Forecasting-for-a-Healthcare-Clinic
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.
YaqoobD/Seoul_Rental_Bike_Prediction_R
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.
YaqoobD/Top-250-Movies-by-IMDB-Rating
This dataset contains information on the top 250 movies listed on the official website of IMDB, sorted by their IMDB rating.
YaqoobD/unsupervised_cycles_counting
YaqoobD/Video-Streaming-Using-Webcam-In-Flask-Web-Framework
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
YaqoobD/weather-trends
YaqoobD/YaqoobD-PCA-Implementation-on-Fashion-MNIST-Dataset