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Updated
Dec 7, 2021
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Python solutions to solve practical business problems.
Maze Applied Reinforcement Learning Framework
Detecting cinema shot types using a ResNet-50
Machine learning Regression problem with easy understandable solutions
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.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
My Assignment Submission made during the course
Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
Dream prediction by using neural networks on EEG time series collected from sleeping humans.
State-Of-The-Art Transformer Models
Applied machine learning coursera materials
Applied Machine Learning Online Course Solutions | Category: AI & Machine Learning
Courses I have completed in Coursera
Predicting opioid misuse using the National Survey on Drug Use and Health.
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.
Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result
Capstone Project - Starbucks Challenge
This is the final project for NCTU Applied CV Course Fall 2020
This repository contains my well documented solutions to Applied Machine Learning with Python course on coursera by University of Michigan
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
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.
Applied ML Algorithms On Amazon Fine Food Reviews.
Remaining useful life estimation, Predictive maintenance
This repo has all the files that I used during the studies of ML and DS
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