📚 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

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

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 📙

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

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

Capstone Project - Starbucks Challenge

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.

Courses I have completed in Coursera

Applied ML Algorithms On Amazon Fine Food Reviews.

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

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

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.

Applied Machine Learning in Python

Applied DBSCAN | Columbia GSAPP

An approach to the agile desing and implementation of a data strategy in businesses

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

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

Applied Statistical Learning, A/B testing with Marketing Analytics, Data Analytics for Business Intelligence

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

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

This repository contains my well documented solutions to Applied Machine Learning with Python course on coursera by University of Michigan

Work has been done on COVID-19 Bangladesh situation .Where Data Analysis, Data Visualization, Supervised Learning and Unsupervised Learning are used.