There are 12 repositories under applied-machine-learning topic.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Python solutions to solve practical business problems.
Detecting cinema shot types using a ResNet-50
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
Machine learning Regression problem with easy understandable solutions
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
My Assignment Submission made during the course đź“™
Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
📚 Curated list of machine learning engineering blogs.
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
📚 Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.
Dream prediction by using neural networks on EEG time series collected from sleeping humans.
State-Of-The-Art Transformer Models
Applied Machine Learning Online Course Solutions | Category: AI & Machine Learning
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
Applied machine learning coursera materials
Courses I have completed in Coursera
Predicting opioid misuse using the National Survey on Drug Use and Health.
Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result
Goal: The aim of this Research Project is to solving Real World Complex Problems Using Machine Intelligence. Artificial Intelligence has various applications in today's society. It is becoming essential for today's time because it can solve complex problems with an efficient way in multiple industries, such as Healthcare, entertainment, finance, education, Space Industry , Agriculture etc. AI is making our daily life more comfortable and fast.
This repository contains my well documented solutions to Applied Machine Learning with Python course on coursera by University of Michigan
Capstone Project - Starbucks Challenge
This is the final project for NCTU Applied CV Course Fall 2020
This project contains the code to perform a task of Particle identification (PID) in Astrophysics, comparing Deep Learning and Classical Machine Learning approaches. Data are provided by Agile team (http://agile.rm.iasf.cnr.it/) and the goal of the analysis is to provide a Statistical model which is able to distinguish gamma-ray photon for background particles.
A nervous system. It needs some interface and translation.
This repo has all the files that I used during the studies of ML and DS
A collection of awesome software, learning tutorials, theoretical resources, books and videos, best practices in applied cryptography.
The goal of this project is to analyze the dynamics of small fishing vessel fleets and provide information to help policy-makers design legislation to prevent Illegal, Unreported, and Unregulated (IUU) fishing.
This is a collection of my work done in the Statistical Programming course.
Applied ML Algorithms On Amazon Fine Food Reviews.
Remaining useful life estimation, Predictive maintenance
[2021 Fall Research in Applied Machine Learning] Implemented random forest as the main technique to identify factors associated with the presence of each species in different bioclimatic regions.