supervised-machine-learning

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

Code for reproducing Manifold Mixup results (ICML 2019)

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

Supervised machine learning case studies in R! 💫 A free interactive tidymodels course

Deep-learning inversion: A next-generation seismic velocity model building method

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

Repository For Codes And Concept Taught in Udemy Course

MQT Predictor - A MQT Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

This repository contains codes of Andrew Ng's course Machine learning

In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

A repository of resources for understanding the concepts of machine learning/deep learning. 

Repo for AIML case studies and projects

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Careium is an AI android application to help in having a long well-healthy life. Helps in tracking eaten food, ingredients, and nutrients. Careium has the advantage of estimating food ingredients, by getting food images using the mobile camera or uploading a pre-captured image to the application, resulting in related info of it such as Food’s Nutrition Components.

Using supervised machine learning to build collective variables for accelerated sampling