applied-machine-learning

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Python solutions to solve practical business problems.

Maze Applied Reinforcement Learning Framework

Detecting cinema shot types using a ResNet-50

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

📌 Papers, guides, and mentor interviews on applying machine learning.

Machine learning Regression problem with easy understandable solutions

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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.

My Assignment Submission made during the course 📙

Dream prediction by using neural networks on EEG time series collected from sleeping humans.

A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.

State-Of-The-Art Transformer Models

Courses I have completed in Coursera

Predicting opioid misuse using the National Survey on Drug Use and Health.

Applied machine learning coursera materials

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.

Capstone Project - Starbucks Challenge

Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result

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.

This repo has all the files that I used during the studies of ML and DS

This is the final project for NCTU Applied CV Course Fall 2020

Applied ML Algorithms On Amazon Fine Food Reviews.

Remaining useful life estimation, Predictive maintenance

A nervous system. It needs some interface and translation.

Applied Machine Learning in Python

Summer is the best season in the real estate market and housing prices vary based on a number of features. Data from 2 such Summers is taken about the Kings County Housing Prices. Two Jupyter Notebooks depicting the various Regression models is used to depict how the number of bedrooms, waterfront location, total area in square feet, etc. affect the housing prices. Machine Learning with Python is used throughout the course of the project. Jupyter Notebooks give complete detail of implementation.

Metis Data Science Bootcamp : Project Directory

Machine Learning and Deep Learning in Bioinformatics - Master's thesis repository

Applied Machine Learning Online Course Solutions | Category: AI & Machine Learning