modelbuilding
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abhiverse01 / tfx-iris-project
This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.
Language:Python 5itsmethahseer / clustering-and-Ensemble-techniques
Welcome to the Machine Learning Repository - Part 4! This repository focuses on unsupervised machine learning algorithms, particularly clustering techniques, and explores the fascinating world of ensemble methods, including boosting and bagging.
Language:Jupyter Notebook 5heroorkrishna / Basic-Text-Classification-Project
sms spam ham classification using NLP Techniques
Language:Jupyter Notebook 2Vaishnavii2002 / Medical-Insurance-cost-prediction
Exploratory Data Analysis & predicting medical insurance cost with machine learning.
Language:Jupyter Notebook 2VivanVatsa / carmaprycepred_machinelearning_project
Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars
Language:Jupyter Notebook 2Ansuman21 / Lead-Scoring-Case-Study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
Language:Jupyter Notebook 1chinmayeeguru / Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
Language:Jupyter Notebook 1Manu-Gr / Multi-Linear-Regression---Assignment---50-Startups
Multi Linear Regression - Assignment - 50 Startups
Language:Jupyter Notebook 1nitin-pandita / Machine-Learning
This Repo will contain the Machine Learning code and projects I will be doing
Language:Jupyter Notebook 1Sivagiri12 / Linear-Regression-Assignment---Sivagiri
A bike-sharing system is a service in which bikes are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" which is usually computer-controlled wherein the user enters the payment information, and the system unlocks it.
Language:Jupyter Notebook 1Warmshawn / moltemplate
A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies
Language:Python 1xploreAI / End_To_End_ML_Project
Student Exam Performance Indicator: ML Project Repository for analyzing and predicting student performance. Explore data, build models, and gain insights with ease.
Language:Jupyter Notebook 1babi9181 / Codeway-Solutions
Internship in Codeway Solution Company
Language:Jupyter Notebook 0Titanic Machine Learning from Disaster
Language:Jupyter Notebook 0beingbvh / Singapore_Resale_Flat_Prices_Predicting
The objective of this project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.
Language:Jupyter Notebook 0FarhanaTeli / BERT_TFIDF-BERT_Semantic_Text_Similarity
Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.
Language:Jupyter Notebook 0HardiPalan / Bangalore_home_price_prediction
Bangalore Home Price Prediction uses machine learning models to predict housing prices based on features like location, size, and number of bedrooms. The project includes data preprocessing, exploratory analysis, and model building with algorithms such as Linear Regression to achieve high accuracy.
Language:Jupyter Notebook 0Jeffson-dsilva / Smartphone-Price-Prediction
Smartphone Price Prediction is a machine learning project that predicts the price category of a smartphone based on its features. This project provides insights into how various specifications, such as RAM, battery capacity, and processor speed, influence the pricing of smartphones.
Language:Jupyter Notebook 0LeonardLeo / Creating-a-Predictive-Model-and-Analyzing-the-Impact-of-Brexit-on-UK-House-Prices
The project involves creating a predictive model and analyzing the impact of Brexit on UK house prices. It includes tasks such as data preprocessing, exploratory data analysis, feature selection, model building, and visualization of the impact of Brexit on house prices.
Language:Jupyter Notebook 0Muthukumar0908 / Final_retail_sales_forecast
In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.
Language:Jupyter Notebook 0MVK109 / MLProjects
Building different machine learning models and selecting the best model for the given dataset. Saving the metrics ,parameters, artifacts, models in mlflow and using restapi for making predictions on validation data using the best model chosen.
Language:Jupyter Notebook 0PiyushChaudhari99 / High_Pressure_Compressor_Issentropic_Efficiency_Prediction
This repository serves as a showcase for my data science project, demonstrating a project on prediction of high pressure compressor issentropic efficiency using machine learning algorithm
Language:Jupyter Notebook 0sarahloree / Project-2--Bank-Loan-Marketing-Model
This is the second project I completed as part of the Machine Learning Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.
Language:Jupyter Notebook 0shaktisingh25 / Lead-Scoring-Case-Study-Group-
Case Study
Language:Jupyter Notebook 0Tanzim-prog / sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
Language:Python 0The-analyst001 / DataCamp_projects
This repository features a collection of my DataCamp projects, including analyzing the Google Play Store app market, investigating Netflix movie trends, building a credit card approval predictor, and increasing site subscriptions using logistic regression.
0VinceMagick / DataAnalysisFlyzy
The business objective of this project is to develop a reliable predictive model for flight cancellations to support Flyzy's mission of providing a smooth and hassle-free air travel experience.
Language:Jupyter Notebook 053KIbGcAqz0Gokmj / Portfolio
"Explore my latest tech portfolio showcasing academic record projects and my passion for data analytics, insight generation, visualizations, model building, and project planning. These projects mark my initial foray into data science, with a continuous drive to learn and explore new ways to use data. Stay tuned for more ambitious projects!"
najmaelboutaheri / MortgageBackedSecuritiesPrediction
This repository contains the code and resources for a comprehensive case study on mortgage trading, designed to help Industrial/Organizational Economists understand the financial system, sharpen data modeling, and financial analysis skills, and experience the dynamic environment of a mortgage trading desk.
Language:Jupyter Notebookpraveendecode / IITM_ML_Project
Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
Language:Jupyter NotebookDesigned an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
Language:Jupyter NotebookRajitha0411 / ML
The Global Superstore dataset is a comprehensive collection of sales data spanning multiple years, regions, and product categories. This rich dataset encapsulates critical business metrics including sales revenue, profit, order quantity, and shipping cost, making it ideal for various data analysis and machine learning projects.
Language:Jupyter NotebookSelukartejas / Customer_Churn_Prediction
Predict customer churn using historical data and machine learning. Retain customers, enhance planning, and cultivate a stable business environment.This project performed on machine learning intern at Mentorness.
Language:Jupyter NotebookA Heart Diseases Prediction built using Django web applications. Users can check whether it suffer heart diseases or not.
Language:HTMLIn our internship at Mentorness, we explored T20 World Cup data, using machine learning with expert guidance. Our team analyzed player performance and game outcomes, demonstrating the influence of mentorship on applying machine learning in cricket analytics.
SridharYadav07 / Machine-Learning-Project-Bankruptcy-Prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
Language:Jupyter Notebook