somjit101/Facebook-Friend-Recommendation

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.

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Ehsan-Behzadi/Breast-Cancer-Prediction-Model

This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.

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PacktWorkshops/The-Python-Workshop

A New, Interactive Approach to Learning Python

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esvs2202/Concrete-Compressive-Strength-Prediction

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

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franmateus/Risco-de-Credito-Modelos-Ensemble

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

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GaneshAhire30/Big_Mart_Sales_Prediction-Project

Big Mart Sales Prediction is a machine learning project that predicts product sales across multiple stores using features like item price, weight, and store type. The model uses regression techniques to help optimize inventory and sales strategies.

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MohamedLotfy989/Credit-Card-Fraud-Detection

This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.

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FrienDotJava/adult-census-income

A machine learning project classifying whether someone has income >$50K or <$50K using several models.

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rosasbehoundja/Cryptojacking_Detection

Cryptojacking classification

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SamJoeSilvano/Airline_Ticket_Fare_Prediction

Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.

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maheera421/Bulldozer-Price-Prediction-Model

Prediction of the auction prices of bulldozers using historical data.

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manjugovindarajan/RENEWIND-predictive-maintenance-cost-maintenance-usingML

The aim is to decrease maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionizing model using pipelines

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Osamaz123/Maintainance-cost-reduction-through-through-predictive-techniques-using-ml

Machine Learning model on highly imbalanced dataset for preventive maintenance by identifying potential failures before they occur, thereby reducing downtime and maintenance costs.

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nothineazi/Car-Price-Prediction-Model

A machine learning model that predict car prices using Random Forest Regression, and Randomized Search CV.

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Ehtisham33/Hyperparameters-Tunning-of-Machine-Learning-Models

This project is to classify emails as spam or not spam using various machine learning models. Hyperparameter tuning is performed to optimize model performance.

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dariak153/Comprasion_of_classifiers

The goal of this project was used advanced preprocessing and feature engineering. Achieved high accuracy with XGBoost and LightGBM. Deployed via a Django web application and visualization was presented using Dash and Plotly.

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sanhiitaa/fastag-fraud-detection-classification

Fastag Fraud Detection Classification System

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Niru8449/SuccessSage

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

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MohammadShabazuddin/Machine_Learning_for_Face_Identification

Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.

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aashishcoder/Parkinson-Disease-Detection

Parkinson disease detection using KNN Classifier and Random Forest Classifier.

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astonglen/AirBnb-Price-Prediction

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.

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kgdatatech/climatewins-ml

Exploring the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward. (CF student project)

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ThinamXx/CaliforniaHousing__Prices

I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

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SannketNikam/Credit-Risk-Analysis

Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.

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DataScienceVishal/Telecom_Churn

Telecom Churn prediction with multiple machine learning models

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DataScienceVishal/Bank_Customer_Behaviour

Bank Customer Behaviour Prediction

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Shardy2907/House-Price-Prediction

A Machine Learning Regression Model has been used to predict the prices for houses in Boston.

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Ashwin0229/Tree-Classifiers

Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers

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ashishrana1501/Forest-Fire-Prediction

Algerian Forest Fire Prediction

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alavi-sam/salary-prediction

A comprehensive analysis and predictive modeling of the "Salary Data.csv" dataset to forecast salaries. Utilizes advanced machine learning techniques, including pipelines and transformers, for robust and accurate predictions.

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antbartash/product_failure

Predict product failures

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abhijha3011/Hyper-Parameter-Optimization-Techniques

Hyper Parameter Techniques

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Alli3d/hyperparameter_tuning_iris_dataset 📦

Hyperparameter tuning for iris dataset (GridSearchCV, RandomizedSearchCV)

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hugohiraoka/Bank_Customer_Churn_Prediction

Model to predict bank customer churn

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Tejas-TA/Machine-Learning-Prediction-of-California-House-Prices

The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link

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GunturWibawa/SweetLiftSalesAnalysis

Sweet Lift Taxi collected airport order data. As a Data Scientist, I developed a model to predict taxi orders for the next hour. The goal is to draw more drivers at peak times, targeting an RMSE under 48 on the test set.

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felipenufisnor/ML_random_exploration

Machine Learning: Optimization with Random Exploration

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StartrexII/tuningHyperparameters

study of hyperparameter tuning methods

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SannketNikam/Student-Placements

Using Logistic Regression with RandomizedSearchCV Hyperparameter Tuning to find out whether a student gets placement or not.

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muskan-setiya/solar-energy-efficiency

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iamkirankumaryadav/Regression

Regression - Bulldozer Sales Price - Kaggle Competition

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iamkirankumaryadav/Improvement

Improving a Machine Learning Model

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iamkirankumaryadav/Classification

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

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aaolcay/Randomized-Search-CV

This repository includes the implementation of RandomizedSearchCV (with cross-validation) for hyperparameter fine-tuning in Convolutional Neural Networks

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rukshar69/Flight-Price-Prediction

Predict Prices for Indian Flights

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Mahesh3394/Understanding-of-Hyperparameter-Tuning

Hyperparameter tuning is the process of finding the optimal hyperparameters for a machine learning model. Hyperparameters are values that are set prior to training a model and affect its performance, but cannot be learned from the data. Some common examples of hyperparameters include the learning rate, regularization strength.

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ohmthanap/Churn-Predictions-Telecom-Customer

Developed a churn prediction classification model using various techniques including: EDA, Decision trees, Naive Bayes, AdaBoost, MLP, Bagging, RF, KNN, logistic regression, SVM, Hyperparameter tuning using Grid Search CV and Randomized Search CV.

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AsimChakraborty/Flight_price_predict

Flight Price Predictor is a service that helps you forecast the price of a flight ticket .The goal of this project, first apply the machine learning models then predict to flight price.

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fortune-uwha/loan-default-prediction

Develop a predictive model that determines the likelihood of a customer defaulting loan payment

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rochitasundar/Predictive-maintenance-cost-minimization-using-ML-ReneWind

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

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MvMukesh/EmployesEarning-DeepAnalysis_Prediction

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

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Simon-157/AI-final-project

A comprehensive data science project for analysing eCormmerce and online shops data for possibility to enegage customer retention to increase purchases. Trained and comprehensively evaluated machine learning models using different algorithms and tuning procedures.

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SebaPansecchi/DataScience-Aprobacion-Tarjetas-de-Credito

Proyecto final del curso de DataScience en CoderHouse que intenta ayudar a una entidad bancaria a la hora de decidir si emite una tarjeta de crédito al solicitante

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Krystkowiakk/Heart-Disease-Patients-Classification

Metis project 4/7

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CEPHAL0/credit-card-fraud-detection

Machine learning model using sklearn on pandas dataframe

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Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure

Deploying Flight Price Prediction via Microsoft Azure

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Akash1070/Flight-Price-Predicting---Heroku

Flight Price Prediction Model Deployment IN Heroku

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amit-timalsina/California-Housing-Price-Prediction

I have built a Model using the Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

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HermawanHermawan/predict-sales

Predicting the Sale Price of Bulldozers using Machine Learning

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mauryashobhit/heart_disease

classifying a patient has a heart disease or not

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mauryashobhit/flight_price_prediction

determining flight prices based on different parameters

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mauryashobhit/walmart-sales-forecasting

factors affecting the sales of the walmart store

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vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

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Ayda-Darvishan/Tuning-ML-Classifiers

The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development for productionizing the final model.

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jayantkp/Used-Car-Price-Prediction-using-RandomizedSearchCV

Building a Random Forest model to forecast the prices of used cars based on it's present and past characteristics.

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fahimabrar/Hyperparameter_Tuning

Hyperparameter tuning using gridsearchCV and randomizedsearchCV

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rohitspingulkar/Car-Price-Detection-System

Buliding a ML model for predicting the selling price of a car

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jesussantana/Supervised-Regression

Practice and become familiar with regressions

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soumya-mishra/Telecom-Churn--Case-Study

Telecom Churn Case Study

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zoom2manoj/all_hyperparameter_optimization

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