pranava007/AI_ML_Ada_Boost_Regression_Insurance-charge

AdaboostRegression

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pranava007/AI_Insurence_Charges_Predict_ML

Regression_RondomForest

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Harsh0713/SMS-Spam-Classification

The "SMS Spam Classification" project aims to develop a machine learning model to automatically identify and classify SMS messages as either spam or legitimate (ham).

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pranava007/AI_Decision_Tree_ML

This is Decision Tree ML

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pranava007/AI_Support_Vector_Machine_Kernal-linear_ML

This is a Support Vector Machine

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pranava007/AI_in_Business_Intelligence_and_Analytics_ML

AI_in_Business_Intelligence_and_Analytics

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pranava007/AI_Salary_Prediction_ML_Regression_Model

This is AI_Salary_Prediction_ML_Regression_Model

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hamdaniqhmqd/test-deploy-streamlit

Language: Python - Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

samalyarov/telegram_monitor

A telegram channel parser + binary text classifier utilizing a simple logistic regression model

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Rushabh75/Hand-Motion-Detection

This is a simple hand motion detection code where the model will detect particular motions like Swiping Left, Swiping right and zoom in.

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danielarodriguez4/ModeloAI-Produccion

Este proyecto busca completar la formación del curso Introducción a la IA llevando un modelo predictivo a un estado listo para que sea integrado en sistema de producción.

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Juwono136/predictive-analytics-machine-learning-model

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.

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isaqueiros/NewspaperSoldOut-predictions-Logistic_Regression

This notebook is a study of the application of sklearn Logistic Regression model and analysis of metric quality with a focus on the impact of imbalanced data. The problem presented is the analysis of sales of newspapers of a local stand in order to classify the probability of the newspaper being Sold Out or Not, given a set of features.

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rvigneshwaran/sklearn-implementations

This repository contains the implementation of various algorithms in Machine learning using sklearn library

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kevin-rsj/Real-Estate-Investments

Sistema de scoring que clasifica ciudades francesas para inversión en segundas viviendas según perfil de riesgo(alto, moderado y bajo). Evalúa ratios clave en áreas como demanda, disponibilidad, infraestructura, demografía y precios.

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f3riend/color-palette

a system that counts and clusters the most common colors in images and produces a color palette.

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Jimmymugendi/Email-sms-Spam_Classifier

Email SMS Spam Classifier is a cutting-edge machine learning solution designed to combat spam messages in email and SMS communications. Leveraging advanced Natural Language Processing (NLP) techniques, the system preprocesses text data by tokenizing, removing stopwords, and stemming, ensuring the most accurate classification results.

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mdsayem01k/ML-core-Algo

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isaqueiros/NewspaperSales-predictions-LinearRegression_and_Regularisation

This notebook is a study on the sales of newspapers of a local stand, with intention to predict the newspaper sales performance based on the different features available. For this, 4 sklearn models are applied: Linear Regression, Lasso Regression, Ridge Regression and Elastic Net Regression.

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isaqueiros/MotorPremium-predictions-MLPClassifier

This Jupyter Notebooks is an initial study of the application of sklearn neural network MLP Classifier model. The model is applied to dataset MotorPremiums, which is supplied separately in .csv format.

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OleksiiLatypov/DRU_Data_Science_Fundamentals

DataRootUniversity, TensorFlow, Coursera, Kaggle

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Gourav052003/Advanced-HR-Analytics-for-Talent-Acquisition-and-Employee-Retention

HR analytics, also referred to as people analytics, workforce analytics, or talent analytics, involves gathering together, analyzing, and reporting HR data.

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DimaGutierrez/DataScience

Python Scripts

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syamkakarla98/Linear-Regression

Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.

Language: Python - Size: 169 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 5

dynamicanupam/Housing_Price_Prediction_using_Advanced_Regression

Build a regularized regression model to understand the most important variables to predict housing prices.

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Ahmed-AI-01/NLP

this repo will include all my work regarding NLP

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harmanveer-2546/Ad-Click-Prediction-Analysis-and-Insights

To predict whether a user will click on ad or not.

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shwetajanwekar/Capstone-project_1

Capstone project_1 include python code for best fit regression model, SQL feature store and tableau dashboard

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SevilayMuni/Project-No.5-XGBoost-RandomForest-ClaimClassification

XGBoost Predictive Model for TikTok's Claim Classification: EDA, Hypothesis Testing, Logistic Regression, Tree-Based Models

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manjugovindarajan/Trade-Ahead-StockClustering-using-ML

Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.

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xw0413happy/Tram-Manual-Ridership-Count_digitizing-handwriting

I employed two approaches to try to digitize handwriting on images, but the behind concept of two approaches both are machine learning, one is I have to import modules from keras, another is a ready package

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NzolaKiampava/MLearning-training_magic_gamma_telescope

Training Magic-gamma-telescope. Training, Validation, test dataset. KNN. Naive Bayes. Log Regression. Neural Netowrks

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muhammedrahil/Trained-HealthCare-Chat-Bot

The field of healthcare is vast, complex, and ever-evolving. Providing accurate and accessible information to patients and professionals alike is crucial for improving healthcare outcomes and fostering a well-informed community. However, sifting through extensive medical literature and resources can take time and effort, even for experts in the fie

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Aryan10Raj/Email_Classification-Spam-or-Ham-Developed

This project demonstrates email classification using logistic regression.

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akshita5458/Breast_cancer-_classification

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nouman6093/Machine-Learning-Projects

in this repository i will upload everything i have learned and created in machine learning.

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AbhishekKumarRoy/Project-Advertisement

Notebook created for a challenge hosted by Summer Analytics by C&A Club IITG.

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LeftCoastNerdGirl/Disaster_Tweet_Classification_NLP

This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program.

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SaBuMa/Inteligencia-Artificial

This is the notebook for Artificial Intelligence

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Sarthak-1408/Water-Potability

In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.

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chandkund/Housing-Price-Prediction

Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

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Kidaha12/CryptoClustering

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scagiu99/Explain-you-opinion

Project for the University Master Degree Course of Information Retrieval

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Matthewasi/ConnectTel-Customer-Churn-

The goal of this project is to predict customer churn of ConnectTel by analyzing customer data. By accurately predicting which customers are likely to leave, the company can take targeted actions to retain them, ultimately reducing churn rates and increasing revenue, ConnectTel will benefit by implementing strategies to retain high-value customers.

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ykgautam09/movie-recommendation

A recomendation engine for movies which is able to generate no of recomendation for a given choice of a movie using NLP and python.

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rajesh9943/Sentiment-Analysis-of-Consumer-Opinions-on-Amazon-Products

Developed a comprehensive Sentiment Analysis System aimed at classifying Amazon product reviews into positive, neutral, and negative sentiments. The project leveraged advanced Natural Language Processing (NLP) techniques alongside machine learning algorithms to deliver accurate and actionable insights from customer feedback

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VvEK-Hiremath/GRIP-Internship-The-Sparks-Foundation

Data Science and Business Analytics tasks.

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bluntjudg/Speed-distance-model-

Speed distance model - to check the model accuracy - a supervised learning model example

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Kavayk29/Audio-classification-using-Python-Library

This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.

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Osamaz123/Heart-disease-detection

Heart disease prediction using both traditional machine learning techniques and deep learning models

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kitospace/Letter_recognition

Letter Recognition

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yashika-malhotra/Machine-Learning---Linear-regression-on-Education-Institute

In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.

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dipeshgoyal013/Salary-Data-Analysis

Salary Analysis according department and agency.

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LavKalsi/CreditCardFraudDetector

Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.

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4702chahat/Rock-Vs-Mine

This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine

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Souvik-Pramanik/FMD-redesigned-spork

Face Mask Detection System support with Tensorflow by Python.

Language: Python - Size: 181 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Dpatel458/Indus-Internship-Predictive-Maintenance-for-Industrial-Equipment-

Internship Projects

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johannaschmidle/House-Price-Predictor

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

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BhadraNivedita/How-to-calculate-feature-importance-in-Python

Compute feature importance in machine learning model

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alejomd17/Ejercicios_de_Python

Ejercicios de manipulación de datos en Python, librerías principales Pandas, Numpy, Matplot, Sklearn, Statsmodel, Estadística Descriptiva y Fundamentos de Machine Learning,

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jElhamm/Singular-Value-Decomposition-Data-Mining

"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."

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mayankmittal29/VaccineClassifier

This machine learning project builds a classifier for 2 types of Vaccines by loading the dataset , doing the Exploratory Data Analysis and feature engineering and then using 5 different ML algos to predict and find best of them using ROC-AUC metrics

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DarkDk123/Bulldozers-Price-Prediction

Utilizing bulldozer's auction sale price Dataset to predict the Price of Bulldozers!

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azaz9026/Machine_Learning_Algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

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abhik12295/credit_card_fraud_detection

Used Linear Regression Model and Isolation Forest Model to detect the fraud and anomaly detection

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vineet416/EDA-FE_Flight_Price_Prediction

EDA and Feature Engineering for Flight Price Prediction by PW Skills Data Analytics Course.

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PranavlovesData/ExcelR_Data_Science_Assignments

This repository contains all the assignments and related files for excelR data science and machine learning course.

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vineet416/EDA-Travel

EDA Travel data by PW Skills Data Analytics Course.

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Acash005/Hotel-Price-Prediction-Model

The primary objective of the project is to predict a new hotel price based on different features such as location, booking policy, etc., using Machine Learning models. Both hotel owners and customers must know about the approximate price of a hotel.

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abhisek-13/Multi-Commodity-Price-Predictor

The Multi-Commodity Price Predictor is a machine learning project that predicts the prices of cars, bikes, and laptops. Using advanced techniques, it provides accurate price predictions based on user inputs. The project features an easy-to-use interface built with Streamlit, enabling users to get price predictions quickly and easily.

Language: Python - Size: 5.01 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

jElhamm/Model-Ensembles-Bagging-In-Machine-Learning

"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."

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marcosalvalaggio/edamame

Exploratory data analysis tools

Language: Python - Size: 6.35 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

aakshitaa/CareerCompass Fork of ShashBott/CareerCompass

An AI Based resume parser and automated job recommendation system, that eases the process of searching for job roles and fitting and matching where your own resume stands. Parses the resume and predicts what job role best suits you.

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jElhamm/Model-Ensembles-Boosting-In-Machine-Learning

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

Language: Jupyter Notebook - Size: 576 KB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Sahib858/Supervised-Machine-Learning-Project

Tested different various datasets through different Supervised Machine Learning Algorithms in order to get the accuracy and precision of the data for further prediction and analysis.

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shreyansh-2003/Hands-On-With-Machine-Learning-Algorithms

This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

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hidiryuzuguzel/ShakeMe-PICOM2015

Language: Jupyter Notebook - Size: 7.75 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

hari8github/projects

Used machine learning models to predict spam mails, loan, diabetes etc... also done web scraping, sentiment analysis, EDA. Have fun.

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harmanveer-2546/Covid-19-Chances-Detection

The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AnshikaBansal2004/senior-living-segmentation-analysis

Analysis to optimize services & resident satisfaction in senior living facilities by segmenting population based on characteristics & behaviors.

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mjchimbadzwa/ML-Classification-project

A Simplilearn class project practicing machine learning classification algorithms.

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erdoganege/Prediction-of-JobSatisfaction-of-Kagglers

Sabanci University CS412 - Machine Learning Course Project

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sahilTiwariiii/Dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

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m7md158/data_analysis_project

Language: Jupyter Notebook - Size: 182 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aditya11ad/ML-course

Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies

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Jatin-Mehra119/Titanic_Dataset

Training model to predict passenger survival.

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MohammadMoataz2/Analysis-And-ML-Projects-Using-Python

This repository contains a collection of analysis and machine learning projects implemented in Python. The projects cover various domains and utilize different techniques to gain insights from data and build predictive models.

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Shiivinnit/ML-Projects

Collection of my personal ML projects!

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daidevv/jupyter_notebook_fuga_de_empleados

Análisis de la fuga de empleados de una empresa con implementación de un modelo de Machine Learning para acciones de fidelización.

Language: Jupyter Notebook - Size: 884 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

LeonardoBozCaitano/ML-implementations

Some machine learning practices examples. From course: https://cursos.alura.com.br/course/machine-learning-introducao-a-classificacao-com-sklearn/

Language: Python - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Cata77/Spam-Filter

Machine Learning Spam Filter from scratch

Language: Python - Size: 216 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

souravmalik123/Project-on-Regression_Rental_Bike

Project on rental Bike Regression

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souravmalik123/Project-on-Gas-Turbine-by-Neural-Network

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souravmalik123/project-on-Forest-Fire-by-Neural-Network-

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souravmalik123/East-West-Airlines-Data-Set-by-KMeans-Clustering

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GunnarDahm/e_sports_ml

Scripts to train and evaluate regression machine learning algorithms on PUBG data-set.

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DulminiGuruge/CAN_Crop_Yield_Predictor

A model to predict crop yields using Canadian crop yield and geospatial weather data

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ayushh0110/Compressive_strength

The Compressive Strength Predictor is an android application that utilizes ML model trained on dataset and an Flask API deployed on AWS EC2 instance to estimate the compressive strength of a material based on four input parameters: Grade, UPV (Ultrasonic Pulse Velocity), Rebound, and Age

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nastyh/nastyh.github.io

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Timotej979/Pattern-recognition

Pattern-recognition algorithms and a simple API

Language: Python - Size: 23.7 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0