greyhatguy007/Machine-Learning-Specialization-Coursera

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

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xiamx/awesome-sentiment-analysis

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

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vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

Language: Python - Size: 40.4 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 487 - Forks: 63

EmilHvitfeldt/smltar

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

Language: TeX - Size: 464 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 259 - Forks: 104

juliasilge/supervised-ML-case-studies-course

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

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YangFangShu/FCNVMB-Deep-learning-based-seismic-velocity-model-building

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

Language: Python - Size: 16.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 135 - Forks: 53

sharmapratik88/AIML-Projects

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

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lucylow/Deep-Learning-Mahjong---

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

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munich-quantum-toolkit/predictor

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

Language: Python - Size: 80.2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 68 - Forks: 17

harismuneer/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 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.

Language: Python - Size: 13 MB - Last synced at: 28 days ago - Pushed at: 5 months ago - Stars: 62 - Forks: 18

Ashleshk/Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

Repository For Codes And Concept Taught in Udemy Course

Language: Python - Size: 31 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 34

AmirAli5/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.

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SudhakarKuma/Machine_Learning

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

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ExcViral/adaptive-forex-forecast

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

Language: Python - Size: 68.4 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 28 - Forks: 20

anishsingh20/Statistical-Learning-using-R

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.

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theakshaydas/PGP-AIML

Repo for AIML case studies and projects

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shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

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.

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rileynwong/spotify-analysis

Data analysis on my monthly playlists

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MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Language: Python - Size: 690 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 22 - Forks: 3

msultan/SML_CV

Using supervised machine learning to build collective variables for accelerated sampling

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autistic-symposium/ml-ai-agents-py 📦

👾 resources and experiments for autonomous agents (e.g., language models, reinforcement learning, energy based models)

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yashksaini-coder/Multi-Class-Prediction-of-Obesity-Risk

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

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yashksaini-coder/Multivariate-Logistic-Regression---Telecom-Churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

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KwokHing/SentimentAnalysis-Python-Demo

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

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LeihuaYe/Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

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juliasilge/caret-ML-course

Supervised machine learning case studies with caret in R! 🌟 A free interactive course

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nmacia/dcol

The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

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jcsobrino/TFM-Analisis_sentimientos_Twitter-UOC

TFM - Análisis de sentimientos en Twitter

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LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

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Amey-Thakur/DEPRESSION_DETECTION_USING_TWEETS

Twitter Depression Detection

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KAN-Team/Careium-AI

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.

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J41R0/PyFCM

Fuzzy cognitive maps python library

Language: Python - Size: 337 KB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 2

ahmedhamdi96/ML4T

Machine Learning for Trading

Language: Python - Size: 10.1 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 8

zzf495/Reimplementation-of-Attractive-Feature-Selection-and-Clustering-Methods

This repository integrates the codes for some feature selection & clustering methods.

Language: MATLAB - Size: 27.2 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 11 - Forks: 1

TSG405/Applied-Machine-Learning-in-Python

This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]

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luisgasco/noytext

A web-based platform for annotating short-text documents to be used in applied text-mining based research.

Language: R - Size: 63.3 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 4

SWFSC/banter

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

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jalalmansoori19/Classfiying-Iris-flower-species

This project is about getting familiar with machine learning classification problem !

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TimRivoli/RobotTrader

This is a supervised Recurrent Neural Network (RNN) learning project treating stock trading as a classification problem. Given input of a 60 day window of pricing data, choose the best action for maximum profit. This uses my earlier https://github.com/TimRivoli/Stock-Price-Trade-Analyzer project for a trading environment, and its SeriesPrediction module for data preparation and model training.

Language: Python - Size: 60.5 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 5

Hameem1/Step-Detection-using-Machine-Learning

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

Language: Python - Size: 1.16 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

SayamAlt/Water-Quality-Prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

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lokeshBI/Machine-Learning-Codes

Machine Learning is not a MAGIC but MATH

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tara-nguyen/english-premier-league-random-forest-analysis

Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)

Language: R - Size: 2.01 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0

JangirSumit/kmeans-clustering

K Means Clustering - Unsupervised learning

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ua-datalab/MLWorkshops

UArizona DataLab Workshops

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raju-shrestha/Sentiment-Analysis-of-Twitter-Data-Using-Logistic-Regression

Sentiment Analysis of Twitter Data Using Logistic Regression

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mrinal1704/Credit-Card-Transaction-Fraud-Detection-using-Supervised-Machine-learning-with-an-Imbalanced-dataset

Credit card fraud is a burden for organizations across the globe. Specifically, $24.26 billion were lost due to credit card fraud worldwide in 2018, according to shiftprocessing.com. In this project, our goal was to build an effective and efficient model to predict fraud. We analyzed a real-world dataset that contained a list of government related credit card transactions over the 2010 calendar year. The data presented a supervised problem as it included a column showing the transaction’s fraud label (whether a transaction was fraudulent or not). It also contained identifying information about each transaction such as the credit card number, merchant, merchant state, etc. The dataset had 96,753 records and 10 data fields. We first described and visualized each of the 10 data fields, cleaned the dataset, and filled in missing values. Then we created many variables and performed feature selection. Finally, we created a variety of machine learning models (both linear and nonlinear) and highlighted our results.

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Lucasfrota/MachineLearningElasticComponent

this project aims to be an easy and reusable way to use supervised machine learning techniques

Language: Java - Size: 9.55 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 0

Abhishekmamidi123/Supervised-Modeling-with-Emphasis-on-LAUC

American Express Artificial Intelligence Challenge - Problem 2. Rank: 36 out of 1354 participants.

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DieStok/Basic-Machine-Learning-for-Bioinformatics

ML course materials for bioinformatics students following the Basic Machine Learning for Bioinformatics course at Utrecht University. Course created and taught by Dieter Stoker.

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abinj/machine-learning-algorithms

This repository gives introduction to popular machine learning algorithms in python.

Language: Python - Size: 351 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 8

mmd52/HR_Employee_Attrition

Predicting employee attrition

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weiji14/nz_space_challenge

A prototype end-to-end deep learning solution to identify and traverse crevasses in Antarctica for safer navigation. Uses supervised classification and reinforcement learning.

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DubiousCactus/Amygdala

An easy to read and Object Oriented implementation of a simple Neural Network using back-propagation and hidden layers, applied on a basic image classification problem.

Language: Python - Size: 94.7 KB - Last synced at: about 2 hours ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 2

felipexw/knn-java-library

Just a simple implementation of K-Nearest Neighbour algorithm.

Language: Java - Size: 348 KB - Last synced at: about 1 year ago - Pushed at: almost 9 years ago - Stars: 6 - Forks: 0

MarkusFerdinandDablander/ECFP-Sort-and-Slice

Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints (ECFPs)

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Kanackle/SP-500_stock_data

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maxamin/alternative-kitsune-version-no-autodencoders-are-used

Language: Python - Size: 30.5 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

FarnoushRJ/MLAlgorithms

Python Implementation of Various Machine Learning Algorithms :robot: 🧠

Language: Python - Size: 1.36 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 0

michelbarbeau/Quantum-Machine-Learning

Quantum Machine Learning

Language: Python - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 0

north0n-FI/Predicting-the-Popularity-of-Online-News

Building a model which can predict the number of online 'shares' an article will get based on a set of variables attached to it. (Python)

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JasontheMonster/Link-Prediction-in-Co-Authorship

Link Prediction in Co-authorship dataset

Language: Python - Size: 61 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 5

RoryQo/Student-Online-Learning-Adaptability-Project

Explore factors influencing students' adaptability to online learning through machine learning techniques, including Random Forest, SVM, and Neural Networks. Identify key characteristics and develop predictive models to enhance online education experiences.

Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

Singh-Prince-Rinku/SuperVisedMacineLearning

Supervised Machine Learning Algorithms :

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arasgungore/Keyword-Search-for-Sign-Language Fork of aras-batu/Keyword-Search-for-Sign-Language

Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.

Language: Python - Size: 2.45 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

aras-batu/Keyword-Search-for-Sign-Language

Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.

Language: Python - Size: 2.45 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

Pratik94229/Bike-Sharing-Demand-Prediction-End-to-End-Project

This project aims to develop a machine learning model that predicts the demand for bike sharing in a given location. By analyzing historical data on weather conditions, day of the week, and other factors, we aim to create a model that can accurately forecast the number of bikes that will be rented at different times.

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Pratik94229/Diamond-Price-Prediction-End-to-End-Project

This project focuses on developing a machine learning model to predict the price of diamonds based on various attributes. By analyzing a dataset that includes information about the carat weight, cut, color, clarity, and other factors, we aim to create a model that can accurately estimate the price of diamonds.

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Hamza-A-Ansari/TSF_DataScience_Internship

In this repository, I've added the tasks that I've completed during the Internship as Data Science and Business Analytics at "The Sparks Foundation"(TSF).

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SayamAlt/Liver-Cirrhosis-Stage-Prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

Language: Jupyter Notebook - Size: 5.48 MB - Last synced at: 29 days ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

moesteelo/Predicting-Temperature-with-CO2-Data

Using complex data to help uncover the leading causes of heat temperatures and how to use Machine Learning data to help identify if various CO2 pollutants contribute to the rise in temperatures in the United States!

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weiji14/actinspacenz

Developing a solution for maritime monitoring using ConvNets on Sentinel 1 radar imagery.

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clementetienam/Grid_CarbonIntensity_Modelling

Language: MATLAB - Size: 411 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

mirianfsilva/machine-learning-studies

Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

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nidragedd/udadsnd-p4-airbnb_inside

Udacity DataScience nanodegree 4th project: pick a dataset, explore it and write a blog post

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gcampanella/pydata-london-2019

Slides for my talk at PyData London 2019

Language: TeX - Size: 234 KB - Last synced at: 10 days ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

laurenlhoward14/linear-regression-rugby

Using supervised learning and linear regression to predict a rugby match outcome

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

shaysingh818/dendritic

Iterative optimization library

Language: Rust - Size: 28.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 3 - Forks: 0

Brinkley97/applied_time_series_and_machine_learning

Personal Exploration: Time Series Analysis + Forecasting with Machine Learning

Language: Jupyter Notebook - Size: 78.6 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 1

paocarvajal1912/VIXM-Algorithmic-Strategy

An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

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gautamgc17/ClassicalML_lectures

This repo is a set of curated resources covering traditional machine learning algorithms and techniques.

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rjlovespy/Astro-Entity-Classifier

A Tkinter based ML tool that classifies astronomical entities as Galaxy, Star, and Quasar

Language: Jupyter Notebook - Size: 131 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

marcottelab/super.complex

Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.

Language: Python - Size: 2.52 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 3

vedranav/hierarchy-decomposition-pipeline

Hierarchy decomposition pipeline is a supervised machine learning tool that constructs random forest ensembles from data sets with hierarchical class.

Language: Java - Size: 11.9 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

abhinav4201/Classification-Email-Campaign-Effectiveness-Prediction

The main objective is to improve the effectiveness of their email marketing efforts and increase customer retention.

Language: Jupyter Notebook - Size: 29.4 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

lpapailiou/neuralnetwork

A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.

Language: Java - Size: 107 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

kalthommusa/Introduction-to-Computer-Vision-and-Image-Processing

This repository contains my practice of Introduction to Computer Vision and Image Processing lab notebooks.

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SayamAlt/Stellar-Classification---Sloan-Digital-Sky-Survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

HabibNaeimi/Data-Driven-Fault-Detection

An SVM-based Fault Detector with a sliding window for rising stability on output. Electrical Engineering final B.Sc. project, Petroleum University of Technology.

Language: Jupyter Notebook - Size: 205 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

srikhetramohanty/Data-Science-Portfolio

This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.

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NASA-DEVELOP/SLaCC

The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to evaluate land cover and tick habitat suitability in southern Maine. The SLaCC script occurs in two parts. Part 1 of the script allows users to create a supervised land cover map over a region using a Classification And Regression Tree (CART) model. Part 2 of the script allows users to create a map that displays the "edges" of chosen land covers.

Language: JavaScript - Size: 113 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 5

dharwinrvj/diabetes-prediction

Diabetes Predictor

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

Vatshayan/B.tech-Final-year-project-Machine-learning-on-Flower-Species

Implementation & Learning of Iris Data-set and use of various Machine learning Algorithm

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josephpcowell/cowell_proj_3

Metis Project 3: Supervised Machine Learning with a Categorical Target (predicting credit card fraud)

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

athrvkk/python-and-machine-learning-cheatsheets

A one-stop shop for python and machine learning tips and tricks!

Size: 9.98 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

LaxmiChaudhary/Classifying-silhouettes-of-vehicles

Unsupervised Learning (PCA) on Vehicle dataset

Language: Jupyter Notebook - Size: 4.68 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 10

sharmaroshan/Board-Game-Review-Prediction

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteristics such as minimum and maximum number of players, playing time, complexity, etc. Before we get started, we will need to clone a GitH

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meltingmettle/MerlinsCrystalBall

An algorithm for the popular social deduction game Avalon. In a game based on social deduction, visual cues, deception, and unpredictability, can a minions intent be revealed by careful objective analysis? Currently developing a neural network via Tensorflow. Input teams, player votes, and mission outcomes, and recieve a dynamic probability assesment of which players are malicious Minions of Mordred.

Language: Python - Size: 60.5 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

ucg8j/how-to-make-churn-model-in-R

Language: HTML - Size: 1.58 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 4

shreydan/MachineLearningRecipes

Following tutorials from Josh Gordon.

Language: Python - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 2