Mobasshir Bhuiya's repositories
django-encrypted-filefield
Encrypt uploaded files, store them wherever you like and stream them back unencrypted
Elastic-Search
Learn Elasticsearch from scratch and begin learning the ELK stack (Elasticsearch, Logstash & Kibana) and Elastic Stack.
Starter-CI
Starter repository for AI related projects
Recommender-Systems
A Recommender System is a process that seeks to predict user preferences. This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative filtering techniques, as well as advanced topics like matrix factorization, hybrid machine learning methods for recommender systems, and dimension reduction techniques for the user-product preference space.
Advanced-Machine-Learning
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
list_of_recommender_systems
A List of Recommender Systems and Resources
Edge-IoT
Edge and IoT related research and projects demonstration
Coursera-Specializations
All coursera specializations in one place
Movie-Recommendation-System-using-Collaborative-Filtering
In this course, we are going to focus on the following learning objectives: Learn to create, train and evaluate recommendation engine with Scikit-Surprise. Learn to clean, analyse and use real-word datasets for recommendation systems. By the end of this course, you will be able to create a recommendation system from scratch using Collaborative Filtering that learns from past user behaviour and use it to give unique recommendations for every user based on their past ratings.
Book-Recommendations-from-Charles-Darwin
Build a book recommendation system using NLP and the text of books like "On the Origin of Species."
beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
NumPy
Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library
Computer-pointer-Controller
In this project, you will use a gaze detection model to control the mouse pointer of your computer. You will be using the Gaze Estimation model to estimate the gaze of the user's eyes and change the mouse pointer position accordingly. This project will demonstrate your ability to run multiple models in the same machine and coordinate the flow of data between those models.
Smart-Queue-System
The following pages will walk you through the steps of the project. At a high level, you will: Propose a possible hardware solution Build out your application and test its performance on the DevCloud using multiple hardware types Compare the performance to see which hardware performed best
Deploy-a-People-Counter-App-at-the-Edge
For this project, you’ll first find a useful person detection model and convert it to an Intermediate Representation for use with the Model Optimizer. Utilizing the Inference Engine, you'll use the model to perform inference on an input video, and extract useful data concerning the count of people in frame and how long they stay in frame. You'll send this information over MQTT, as well as sending the output frame, in order to view it from a separate UI server over a network.
it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
create-your-own-adventure
This is example repo illustrates the concept of a "Pull Request", created as part of the course How to Use Git and GitHub
Data-Science-John-Hopkins-Universtiy
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Automated-Social-Distancing-Monitoring
automated social distancing monitoring system
price_tracker
A discount tracking application with django, celery and others
springer_books
Scraper that downloads Springers Free COVID-19 English books.