harsharajkumar/Machine-Learning

This repository offers Python implementations of machine learning algorithms from scratch, using only NumPy. It's designed for educational purposes, to help users understand the inner workings of these algorithms.

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KaziAmitHasan/Prediction-of-Clinical-Risk-Factors-of-Diabetes-Using-ML-Resolving-Class-Imbalance

Being the most common and rapidly growing disease, Diabetes affecting a huge number of people from all span of ages each year that reduces the lifespan. Having a high affecting rate, it increases the significance of initial diagnosis. Diabetes brings other complicated complications like cardiovascular disease, kidney failure, stroke, damaging the vital organs etc. Early diagnosis of diabetes reduces the likelihood of transiting it into a chronic and severe state. The identification and analysis of risk factors of different spinal attributes help to identify the prevalence of diabetes in medical diagnosis. The prevalence measure and identification of diabetes in the early stages reduce the chances of future complications. In this research, the collective NHANES dataset of 1999-2000 to 2015-2016 was used and the purposes of this research were to analyze and ascertain the potential risk factors correlated with diabetes by using Logistic Regression, ANOVA and also to identify the abnormalities by using multiple supervised machine learning algorithms. Class imbalance, outlier problems were handled and experimental results show that age, blood-related diabetes, cholesterol and BMI are the most significant risk factors that associated with diabetes. Along with this, the highest accuracy score .90 was achieved with the random forest classification method.

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hari7261/PlayWithData-Python

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

Language: Python - Size: 57.6 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Jabonsote/Financial-Anomaly-Detection-with-DeepSeek-and-Isolation-Forest

🚀 Financial Anomaly Detection with DeepSeek and Isolation Forest – A powerful, locally-run tool for detecting financial anomalies using Isolation Forest and DeepSeek LLM. Features AI-powered insights, interactive time-series visualization, and automated PDF audit reports. 🔍📊

Language: Python - Size: 4.29 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

macedoti13/skynet_ml

A lightweight, foundational machine learning framework implemented in Python. Features a modular design with customizable layers and support for various activation functions, as well as popular machine learning algorithms. Ideal for educational purposes and rapid prototyping.

Language: Python - Size: 750 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bachkaaaaa/Music-Genre-Classifier

This project aims to classify music tracks based on their genres using machine learning models: VGG (Convolutional Neural Network) and SVM (Support Vector Machine). The project is built with Flask for the backend API and Angular for the frontend interface.

Language: TypeScript - Size: 163 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dahsie/machine_learning_from_scratch

This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills

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Hit07/Transfer_Learning-CNN

Image classification system using transfer learning techniques to distinguish between six different scene categories

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TirendazAcademy/Hands-on-Data-Science-with-GCP

Google BigQuery Tutorial

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Maharshi2301/Object-Detection-Using-OpenCV

Surveillance in Creek area using OpenCV

Language: Dart - Size: 20 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

epythonlab/rossmann-pharma-sales-prediction

A machine learning solution to forecast sales for Rossmann Pharmaceuticals' stores across various cities six weeks in advance. Factors like promotions, competition, holidays, seasonality, and locality are considered for accurate predictions.

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1-Sanchit-1/AgroSmart

An advanced system for soil nutrient analysis, rainfall data, crop recommendations, and yield prediction using machine learning. Features include soil details, rainfall tracking, crop recommendations, and secure logout. It also offers a virtual market for organic products, connecting visitors, officers, and sellers for optimized farming decisions.

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QuanHoangNgoc/Titanic-Kaggle-Competition

This project involves predicting which passengers survived the Spaceship Titanic disaster. Utilizing various machine learning techniques, I analyze data to develop and evaluate models, ultimately contributing to a competitive ranking on Kaggle.

Language: Python - Size: 36.1 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

himanshumahajan138/FraudGuard

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

Language: Python - Size: 171 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

sharmas1ddharth/Mushroom_Classification

Machine Learning Model to classify whether a Mushroom is Edible or Poisonous by its features

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AmeenUrRehman/Machine-Learning-Algorithms-with-examples

This repository includes Machine Learning Algorithms

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nurahmed123/Volume-And-Brightness-Ccontrol-Using-Hand-Gestures-Machine-Learning

Control volume and brightness effortlessly with hand gestures. Our machine learning technology interprets your movements, letting you adjust settings with a simple wave or swipe. Say goodbye to remotes and hello to intuitive control.

Language: Python - Size: 1.95 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Shivam-98350/Crop-Recommendation-System

Crop Recommendation

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harveyphm/MetroPT-3-Anomaly-Detection

MetroPT-3 Anomaly Detection using Machine Learning and Deep Learning

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ashzad123/Text-Extraction-From-Image-App

This is a Machine Learning Project in which we Extract the text from an Image.

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DarshanRokkad/Sms_Spam_Classification

This is a sms or email spam classification project with integration of mlops tools like mlflow, airflow, docker and git

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JeetKarena/College-ML-Projects

ML Projects

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DooPhiLong/Customer-retention-rate-and-RFM-segmentaion-analysis

Perform customer return rate analysis and customer segmentation according to RFM criteria using the Kmean algorithm

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hengluchang/visualizing_momentum

Visualizing Gradient Descent with Momentum in Python

Language: Python - Size: 7.81 KB - Last synced at: 14 days ago - Pushed at: almost 7 years ago - Stars: 25 - Forks: 11

DooPhiLong/Customer-Churn-Rate-Prediction

Customer Churn Rate Predicticted by Machine learning models

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piyush-gambhir/kaggle-competitions

Solutions for various Kaggle competitions.

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echoCodeScript/Infant-Cry-Classification-ML-Model

This repository contains CryMLClassifier, a machine learning model that classifies baby cries into five categories. It utilizes 193 features extracted from the cry audio data, achieving high accuracy with Random Forest and XGBoost algorithms. The repository includes a "features_extraction" folder for feature extraction code samples.

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arzumanabbasov/carpriceprediction

Language: Python - Size: 217 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

harshalDharpure/SuicideRate_Trend_Analysis

SuicideRate_Trend_Analysis is a Machine Learning Model. Where we are using the Below Algorithms to calculate the Suicide Rate.

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jhubar/ML_Synthese_2020

Language: TeX - Size: 4.37 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Pomlington21/SMS_Spam_Detection_Machine_Learning_Model

Machine Learning algorithm used to distinguish between spam and ham texts.

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ShackyRabbit4404/NeuralNetwork-Learns-to-play-mini-games

watch a neural network create its own solutions on how to play simple games

Language: Java - Size: 84 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

amalsalilan/Bias_corrected_temerature_forcasting

This was the problem description for our Smart Indian Hackathon entry, but we were unable to compete in the final due to semester exams.

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mvisionai/cropml_tensorflow_lite

A machine learning android app to predict favorable crops for a cultivable land based on temperature and humidity

Language: Java - Size: 6.13 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

IKJ1992/Shelf

a Wide Shelf for AI and Data Science | Resources 🍔

Size: 332 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 7

Fanusaez/7506R-2C2022-GRUPO13

Trabajo Practico I y II de la materia Organizacion de Datos

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Vatshayan/B.tech-Project-Image-Recognition-System-

Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

chathurawimalasiri/finding-unique-objects

Size: 408 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

SreevaatsavB/laptop_price_predict_2022

An end-to-end project which includes statistical analysis and price prediction of the laptops available in June 2022.

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Pradnya1208/Walmart-store-sales-prediction

This project aims to forecast the weekly sales of Walmart stores across the USA.

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szymonrucinski/plan-doskonaly

React and TypeScript web app 🌩️ for labelling huge images 🖼️ datasets. Learn about movies and cinematography 🎥 while helping to build a huge open-source dataset for CNN 🧠

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yashdev9274/Data-Scientist-Roadmap

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Naveenpandey27/Fake_news_detection

A machine learning project for classifying news articles as fake or real based on the content of the articles. The project uses a dataset of news articles and their corresponding labels to train a model. The model then makes predictions on new, unseen news articles and classifies them as fake or real.

Language: Python - Size: 36.1 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

iamrohitsuthar/LP3

SPPU BE COMP LP3 Codes - Machine Learning (ML) and Information and Cyber Security (ICS)

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HassanAbdulJabbar/Credit-card-analysis

Important insights from customers credit card Analysis

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LoneN3rd/Data-Wrangling-with-R---MTN-Customer-Retention

Read, explore, clean, and analyze data with R

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stogaja/Football-Match-Outcome-Predictor

This is a project that predicts the outcome of a football match based on the model you chose, it gives the probability for draws, home and away wins

Language: Python - Size: 95.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kimy-de/disturbvalue

DisturbValue: a regularization method for regressioin tasks

Language: Python - Size: 4.88 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

anothermorena/pneumonia-prediction

Pneumonia prediction react and fastapi progressive web application.

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devdatta95/Fashion-Class-Classification-Using-CNN

The global fashion industry is valued at three trillion dollars and accounts for 2 percent of the world's. GDP the fashion industry is undergoing a dramatic transformation by adopting new computer vision and Machine learning and deep learning techniques. In this case study we'll look at a hypothetical situation. We assume that if a retailer hired you to build a virtual stylist assistant that looks at customer Instagram and Facebook images and classifies what fashion category they are wearing either bags dresses and pants. The virtual assistant can help the retailer detect and forecast fashion trends and launch targeted marketing campaigns. In this story we're going to use the fashionmnist data. It's a data set that contains images of bags shoes and dresses. And we're asking the deep network to classify the images into 10 classes. So we wanted to build kind of an app per se or a model. They can look at images and can tell us exactly what category in this image. Is it like a short. Is it a bag. Is it like a hat. And so on. That's the whole objective. The data again they are divided into 28 by 28 greyscale images and the target class is actually No. 1 out of 10 which is kind of a target label which can be categorized as you can see into either like maybe a shoe maybe like like pants. Basically these are the target classes. We have the t shirts trousers pullovers ankle boots sneakers and so on so forth.

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denocris/NLP-Workshop-MLMilan

Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)

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Davisy/Gender-Based-Violence-Tweet-Classification-App

A Data science app to classify tweets about GBV without using keywords.

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sethusaim/Scania-Truck-Failure-Prediction-MLFlow

An end to end machine learning system with mlflow to predict the failure of engine component

Language: Python - Size: 3.47 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

ccc013/machineLearning_and_ComputerVision

写过的深度学习文章以及翻译的文章等

Language: Python - Size: 38.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

TWynec/ComputerVisionPainter

Painting tool using OpenCV

Language: Python - Size: 532 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Marcus-V-Freitas/Regressao_Logistica_Sklearn

Testes com bases de dados com algoritmo Regressão Logística (implementação Sklearn)

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akshat-giri/Amazon-ML-Engineer-Hiring-Challenge

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

rahul3687/Inquiry-lead-classification-predictions

Lead classification using python and logistic regression.

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lakhaladnane/Finding_Donors_for_CharityML_Supervised_learning_Project

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Bairyramu/Diabetes_heroku

Machine learning has been one of the standard and improving techniques with strong methods for classification and reorganization based on recursive learning. Machine learning allows to train and test classification system, with Artificial Intelligence. Machine learning has provided greatest support for predicting disease with correct case of training and testing. Diabetes needs greatest support of machine learning to detect diabetes disease in early stage, since it cannot be cured and also brings great complication to our health system. One of the promising techniques in machine learning is Random, it is a classification and regression algorithm consisting of many decisions trees. It uses bagging and feature randomness when building each individual tree to try to create an uncorrelated forest of trees whose prediction by committee is more accurate than that of any individual tree.

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IMsumitkumar/ANZ-internship

performed Exploratory Data Analysis and predictive analysis on given dataset from ANZ virtual intenship

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rishabhtyagi2306/Face-Recognition-Cum-Security-System

A face recognition based security system that allow you to open certain apps on your computer through face unlock. If someone tries to breach the security it send alert mail to the concerned person.

Language: Python - Size: 6.78 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

masrur-ahmed/Udacity-Machine-Learning-Nanodegree-Projects

Repository for The projects that i completed that was assigned in the nanodegree course.

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friskycodeur/genderprediction_using_sound

A project about predicting the gender of an author from their sound.

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ganeshkavhar/String-in-python-by-ganesh-kavhar

ganesh kavhar python programming assignment

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

ganeshkavhar/Neural-Network-and-Backward-Propagation

ganesh kavhar Python Machine learning tutorials....

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ganeshkavhar/Data-structure-with-python

ganesh kavhar python tutorials

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Lucasfrota/BixbyCalculator

This is a Bixby sample calculator Capsule

Language: JavaScript - Size: 84 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0