Topic: modelbuilding Goto Github
Some thing interesting about modelbuilding
Some thing interesting about modelbuilding
modelbuilding,"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!"
User: 53kibgcaqz0gokmj
Home Page: https://github.com/53KIbGcAqz0Gokmj/TechPortfolio.Projects
modelbuilding,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.
User: aakashsyadav1999
modelbuilding,A project to predict the average prices of Avocado in USA.
User: abhijitshow07
modelbuilding,This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.
User: abhiverse01
modelbuilding,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.
User: ansuman21
modelbuilding,Internship in Codeway Solution Company
User: babi9181
modelbuilding,Titanic Machine Learning from Disaster
User: babi9181
modelbuilding,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.
User: beingbvh
Home Page: https://github.com/beingbvh/Singapore_Resale_Flat_Prices_Predicting
modelbuilding,To model the demand for shared bikes with the available independent variables
User: chinmayeeguru
modelbuilding,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.
User: deepakrameshgowda
modelbuilding,The objective is to predict whether the borrower fall under default or not by using historic data of borrower.
User: devanshi06
modelbuilding,Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.
User: farhanateli
modelbuilding,sms spam ham classification using NLP Techniques
User: heroorkrishna
modelbuilding,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.
User: itsmethahseer
modelbuilding,Amazon employee data to predict approval/ denial
User: kpsijil2
modelbuilding,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!
User: kuzhuppillil
Home Page: https://kuzhuppillil.github.io/TechPortfolio-Projects/
modelbuilding,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.
User: leonardleo
modelbuilding,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.
User: maheshkumarmk
modelbuilding,Multi Linear Regression - Assignment - 50 Startups
User: manu-gr
modelbuilding,Model the Miles Per Gallon (MPG) of the car based on other variables like Horse Power(HP), Speed(SP) , Volume(Vol), Weight(Wt)
User: manu-gr
modelbuilding,Dataset of the real-time election results of the 2019 Portuguese Parliamentary Election. Dataset describing the evolution of results in the Portuguese Parliamentary Elections of October 6th 2019. The data spans a time interval of 4 hours and 25 minutes, in intervals of 5 minutes, concerning the results of the 27 parties involved in the electoral event. Aim:- predict the final number of elected MPs in a district/national-level.
User: mithulmanoj
modelbuilding,Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]
User: mivinmathew
modelbuilding,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.
User: muthukumar0908
modelbuilding,Business Objective : To classify if the borrower will default the loan using borrowerโs finance history. That means, given a set of new predictor variables, we need to predict the target variable as 1 -> Defaulter or 0 -> Non-Defaulter.
User: nikita9779
modelbuilding,The repository is focused mostly on the Python libraries used to develop machine learning algorithms. Someone who wants to start a data science career could refer my repository for precise information
User: nikita9779
modelbuilding,This Repo will contain the Machine Learning code and projects I will be doing
User: nitin-pandita
modelbuilding,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
User: piyushchaudhari99
modelbuilding,Exploratory Data Analysis and Model Building
User: ponharshita-p
modelbuilding,A single site to the use cases of some of the most common supervised machine learning algorithms.
User: prathibha13
modelbuilding,Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
User: praveendecode
Home Page: https://hub.docker.com/u/praveendecode
modelbuilding,Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.
User: praveendecode
Home Page: https://hub.docker.com/u/praveendecode
modelbuilding,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.
User: selukartejas
modelbuilding,A Heart Diseases Prediction built using Django web applications. Users can check whether it suffer heart diseases or not.
User: selukartejas
modelbuilding,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.
User: selukartejas
modelbuilding,Case Study
User: shaktisingh25
modelbuilding,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.
User: sivagiri12
modelbuilding,Predicting-Tariff-Rates
User: teja0508
modelbuilding,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.
User: the-analyst001
modelbuilding,enhance real-time visual perception, offering intelligent support for tasks ranging from object recognition to detailed analysis and decision-making.
User: thedatadesk
modelbuilding,Exploratory Data Analysis & predicting medical insurance cost with machine learning.
User: vaishnavii2002
modelbuilding,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.
User: varun-ethari
modelbuilding,Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars
User: vivanvatsa
Home Page: https://carmaprycepred.herokuapp.com
modelbuilding,Student Exam Performance Indicator: ML Project Repository for analyzing and predicting student performance. Explore data, build models, and gain insights with ease.
User: xploreai
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