Starred repositories
Build-your-own DiffuserCam tutorial
General Assembly's Data Science course in Washington, DC
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
Applied Machine Learning in Python
Welcome! This repository contains my experiments involving the application of various data drift methods to bird checklist data from eBird. The code is primarily written in Jupyter Notebook. Enjoy …
Frouros: an open-source Python library for drift detection in machine learning systems.
Algorithms for detecting changes from a data stream.
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published …
Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng
This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.
Best Practices on Recommendation Systems
A brief approach to movies data analysis.
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
4 different recommendation engines for the MovieLens dataset.
This repository contains Spark, MLlib, PySpark and Dataframes projects
Trying out Length Extension Attack on SHA-256
This example demonstrates how to create a dynamic and responsive dashboard with resize, reorder and drag-n-drop the components within the layout.
Free Bootstrap Admin & Dashboard Template
Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]
Notebooks and code for the book "Introduction to Machine Learning with Python"
Tutorials on Machine Learning and Deep Learning with Python
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
TryHackMe CTFs writeups, notes, drafts, scrabbles, files and solutions.