modelbuilding
There are 42 repositories under modelbuilding topic.
itsmethahseer/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.
heroorkrishna/Basic-Text-Classification-Project
sms spam ham classification using NLP Techniques
Vaishnavii2002/Medical-Insurance-cost-prediction
Exploratory Data Analysis & predicting medical insurance cost with machine learning.
VivanVatsa/carmaprycepred_machinelearning_project
Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars
Ansuman21/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.
chinmayeeguru/Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
Manu-Gr/Multi-Linear-Regression---Assignment---50-Startups
Multi Linear Regression - Assignment - 50 Startups
nitin-pandita/Machine-Learning
This Repo will contain the Machine Learning code and projects I will be doing
Ponharshita-P/Parkinsons_Diagnosis
Exploratory Data Analysis and Model Building
Sivagiri12/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.
Warmshawn/moltemplate
A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies
xploreAI/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.
babi9181/Codeway-Solutions
Internship in Codeway Solution Company
babi9181/Intern-Career
Titanic Machine Learning from Disaster
beingbvh/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.
deepakrameshgowda/Lead-Scoring-Logistic-model
Model to identify the potential lead by assigning a score for their rate of conversion. Therefore, reaching out to potential is no more a brainstorming task.
FarhanaTeli/BERT_TFIDF-BERT_Semantic_Text_Similarity
Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.
kpsijil2/Amazon-Employee
Amazon employee data to predict approval/ denial
LeonardLeo/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.
MaheshKumarMK/Compressive-strength-prediction
The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.
mivinmathew/CNNImageClassifier
Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]
Muthukumar0908/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.
prathibha13/Supervised-Machine-Learning-Algorithms
A single site to the use cases of some of the most common supervised machine learning algorithms.
The-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.
53KIbGcAqz0Gokmj/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!"
aakashsyadav1999/building_energy_prediction
This project provides a framework for building energy prediction models. It includes components for data ingestion, transformation, validation, evaluation, and model training, along with utilities for logging, handling exceptions, and managing configurations. This project offers a comprehensive framework for developing machine learning models.
kuzhuppillil/portfolio
Explore my latest tech portfolio showcasing recent projects and my passion for data analytics, insight generation, visualizations, model building, and project planning. These projects are my initial foray into data science, and I am constantly learning and exploring new ways to use data. Stay tuned for more ambitious projects!
Manu-Gr/Multi-Linear-Regression---Buisness-Case---Cars
Model the Miles Per Gallon (MPG) of the car based on other variables like Horse Power(HP), Speed(SP) , Volume(Vol), Weight(Wt)
PiyushChaudhari99/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
praveendecode/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.
praveendecode/Retail-Revenue-Forecasting
Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
Selukartejas/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.
Selukartejas/Heart_Diseases_Prediction
A Heart Diseases Prediction built using Django web applications. Users can check whether it suffer heart diseases or not.
Selukartejas/T20_WorldCup_Analysis
In 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.
Varun-Ethari/data-science-projects
Portfolio of data science projects done by me (Ethari Varun) using Crisp-DM methodology. The projects are done by using various supervised and unsupervised machine learning algorithms, deep learning algorithms, computer vision and NLP.