aufahuhs/Advanced-Machine-Learning-Personal-Project

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

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dvilaverde/SkLearn2Java

A parser for scikit-learn exported text models to execute in the Java runtime.

Language: Java - Size: 98.6 KB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

Shreyash-Sheth/Machine-Learning-Project

This machine learning project involves analyzing a dataset through EDA to uncover patterns and trends. After preprocessing the data, I implement three different ML algorithms and evaluate their performance. The goal is to compare model accuracy and select the best-performing one for predictions.

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Uni-Creator/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

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ArtZaragozaGitHub/NLP--P6_Sentiment_Analysis_and_Summarization_of_Stock_News

Natural Language Processing AI-model driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions and optimize investment strategies.

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PhilSchoeb/weather_classification

Machine Learning (IFT3395) competition 1: Kaggle

Language: Python - Size: 3.98 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

arrhythmia-detection/AuthorFeatureExtractedDecisionTreeEsp32S3

Deploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit

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Aliakbar-omidi/Iris-practice-project

This project is a test modeling for the Iris flower dataset

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Khushi130404/Titanic_Pipeline

This project predicts whether a person survived the Titanic disaster based on various features using machine learning. It utilizes pipelines, ColumnTransformer, and model serialization for efficient processing and prediction.

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Ali-jalil88/Mlflow-Bank-Marketing

Bank-Marketing dataset using Mlflow

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prathamkandari/FASAL-FUSION

This repo contains the Minor Project 1 named Fasal Fusion: An Algorithmic Approach to Transform Crop Recommendations

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estelacode/data_science

📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)

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tejasayya/Alzheimer-s-Disease-Analysis

A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?

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RohiniMeghana/Flipkart-Sentimental-analysis

This project is based on the analysis of the reviews and ratings user gives on Flipkart to make others aware of their experience and moreover about the quality of the product and brand. So, by analyzing that data we can tell the users a lot about the products and also the ways to enhance the quality of the product.

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5hraddha/interconnect

Interconnect : Clients Churn Prediction using ML

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muhammad3245571106/Student-Grade-Prediction

This is the Data Mining Porject for predicting the grade of student before the final examination and before the Mid 2 examination. I use Python and Jupyter Notebook for this Project.

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cltai9145/Multilabel-Text-Classification

Predicting Tags for Stack Overflow

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Fay-Balhareth/Predict-students-Pass-or-fail

This project uses data mining to analyze student performance and predict pass/fail outcomes.

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meAnubhav/Heart_Disease_Prediction_by_Machine_Learning

A machine learning application, deployed using Flask, is designed to identify the presence of heart disease in patients by analyzing various medical features.

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leomarkcastro/Machine-Learning

Machine Learning lessons (Linear Regression, Logistic Regression, DecisionTreeClassifier, SVC, RandomForestClassifier, K Clustering, Naive Bayes) and data manipulation codes learned from this playlist: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=1

Language: Python - Size: 1.13 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Safaa-p/Fraudulent-Insurance-Claims-Detection

Different models to detect if a claim is fraudulent or not

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danieljosephraj/LGMVIP-DataScience

LetsGrowMore DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which LSTM, Decision Tree, Random Forest and XGboost have been used.

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mohmeez/Decision-Tree-Classifier-from-Scratch

Predict the target class for the lenses dataset with a decision tree classifier by calculating gini impurity and information gain from scratch in python.

Language: Python - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SangitaPokhrel911/Loan-Prediction

Loan Prediction using four ML Algorithms - Decision Tree, Logistic Regression, Random Forest, Neural Network

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RaistlinTAO/SparkModelHelper

Scala Library for extracting useful information from trained Spark Model (DecisionTreeClassificationModel)

Language: Scala - Size: 403 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

Luiggi-piero/python-sklearn-curso-5

Machine Learning clasificación con SKLearn

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RimTouny/User-Forest-Cover-Type-Prediction

Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).

Language: Jupyter Notebook - Size: 6.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dixitamol/ML_code_templates_Py

Code templates for data prep and different ML algorithms in Python.

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GitCraigRash/Supervised_Machine_Learning

Using Supervised Machine Learning to predict the success of a Falcon 9 landing.- DataScience

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Adityasangle/CognitiveAI-ML

This Repository contains cognitiveai class's all practice labs.

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mdsahilak/DecisionTreeClassifier

Implementing a Generic Decision Tree Classifier in Swift and comparing it with a python version.

Language: Swift - Size: 57.6 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

karlvmsousa/Machine-Learning-Recipes

Machine Learning Recipes is a series of videos from Google Developers covering codes (python) and insights about ML.

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GunturWibawa/BetaBankChurnAnalysis

Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.

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GunturWibawa/MegalineCBA

As a Data Scientist at Megaline, a leading mobile operator, I developed a model to analyze consumer behavior. I aimed to recommend either the Smart or Ultra package from Megaline's latest offerings, with a minimum accuracy of 0.75.

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ngandhi369/fsep2022

Performed Data analysis and Prediction on Indian road accident dataset & NYC parking violations dataset. Accelerated data related operation using NumPy, Pandas, Matplotlib, Seaborn, Tableau and Scikit-learn. Used Flask and Heroku to deploy.

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Hk669/Hyperparameter-Optimization

The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.

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NAVEENDATAANALYST/PREDICTING-SURVIVAL-ON-TITANIC-IN-R

This is my own code. The data set is taken from Kaggle competitions. Here is the link: https://www.kaggle.com/competitions/titanic

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RoshankumarS14/-LGMVIP--DataScience

Welcome to my Lets Grow More internship project repository! Explore a collection of data science and business analytics projects showcasing my skills in predictive modeling, classification, and forecasting. Each project features a detailed Jupyter Notebook with code and visualizations. Join me on this data-driven journey!

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anudeep-17/Data-mining-study

Datamining concepts

Language: Python - Size: 714 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

mdaiyub/Diabetes-Prediction

Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

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AhmedAbdAlkreem/Hotel-Reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

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lakki0704/Farmassistant

A crop recommendation website which using decision tree classifier to recommend the crop that can be grown in a particular area

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seherkuutlu/R-ile-Karar-Agaci-Uygulamasi-Kategorik

Bu uygulamada; C4.5, C5.0 ve CART algoritmalarını kullanarak sınıflandırma gerçekleştirdim.

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jaiminjariwala/Random_Forest_Project_1

Language: Jupyter Notebook - Size: 818 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

UviniR/Python-for-Classification

This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms

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Athari22/Classification-with-Python

IBM Project

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msaintfelix/SKLearn_Flight_Delay_Predictions

DecisionTreeClassifier for Kaggle flight delay dataset.

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awojidetola/Mobile-Phone-Price-Prediction

In this project, the price ranges of mobile phones are predicted based on the features the phone possesses.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

felixodette/Churn-Prediction-Telco

Churn Prediction on a Telecommunication Dataset

Language: Jupyter Notebook - Size: 392 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

HenyerM/Predicting-Bike-Rentals

In this project, we will try to predict the total number of bikes people rented in a given hour using a data collected by Hadi Fanaee-T at the University of Porto. To accomplish this, we will create a few different machine learning models and evaluate their performance. ou can download the data from the University of California, Irvine's website.

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REEKRAJROY/Diabetes_Prediction

Diabetes Prediction

Language: Jupyter Notebook - Size: 82 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

nani757/QQ-plot-Function-Transformer-Log-Transform-Reciprocal-Transform-Square-Root-Transform

Function Transformer is part of feature engineering it converts probability density function to normal distribution

Language: Jupyter Notebook - Size: 428 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

nani757/Pipelines

pipelines chains together multiple steps so that the output of each step is used as input to the next step

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KarthikMurugadoss1804/Prediction-of-customer-churn

In this project I intend to predict customer churn on bank data.

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heroorkrishna/Incident-Impact-Prediction

Predicting the incidents raised by the customer

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noambassat/Gemstones_Project

Data Science final project

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

Mostafa-wael/Loan-Classifier

A machine leaning based loan classifier using many classification techniques then, uses them trying to find the best parameters for each one of them hence, compares between them according to various metrics

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swarna0712/Of-Genomes-and-Genetics-Data-Analytics

Predicting genetic disorder and disorder subclass based on familial history and its effects

Language: Jupyter Notebook - Size: 3.48 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

imane-ayouni/Iris

Different classification algorithms to predict the species of Iris flowers

Language: Jupyter Notebook - Size: 320 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

imane-ayouni/Pima

Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes

Language: Jupyter Notebook - Size: 218 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Enantiodromis/Data_Mining_UCI_Machine_Learning

Data Mining coursework. Required the submission of two seperate py files. Short description. The aim of this coursework assignment is to demonstrate understanding of classification and cluster analysis.

Language: Python - Size: 1.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Aakkash24/Credit-card-risk-prediction

This model predicts the risk of your credit account based on the set of values enteres

Language: Python - Size: 430 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

srilakshmi-thota/Machine-Intelligence-Expertise-Systems

EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019

Language: Python - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Shikhar-S/Machine-Learning

Contains FP Tree and FP Growth, decision tree implementation and small programs developed using Tensorflow

Language: Python - Size: 731 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

ashutoshpaul/Myers_Briggs_Personality_Test_Application

This is a small and simple Machine Learning project. The front-end is Java (PersonalityTest) and the back-end is Python (PersonalityServer). The user uses the JavaFX Application (client) to connect to the back-end using Python Flask where a Machine Learning model is trained and it is used to predict the user's personality (out of 16 different personalty as per Myers and Briggs Personality Test) and the model predicts and returns the personality to the client's application. Before that the user gives a test of forty different general questions in the Application. Back-end is loaded in the server. Also, the client has an option to request the personality details to be sent in his/her email address with the help of Java. DecisionTreeClassifier has been used to train the model. One more thing, due to less quantity of data in the dataset. The output given by the model cannot be completely trusted.

Language: Python - Size: 59.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

AshishYUO/DecisionTreeClassifier

DecisionTreeClassifier: Classifies the "Labelled" data

Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

pshroff04/Predict-The-Rating-of-Soccer-Player

Predict the ratings of players based on various attributes, like crossing, free_kick_accuracy, ball_control.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

nafis00141/Football-Player-Transfer-Prediction

Football Player Transfer Prediction Using Different Classifiers

Language: Python - Size: 150 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1