Topic: "modelbuilding"
Tanwar-12/Automobile-Imports-Prediction
The project is about to predict the price of import Automobiles. We have build a machine learning model that performs with selected features.
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Vaishnavii2002/Medical-Insurance-cost-prediction
Exploratory Data Analysis & predicting medical insurance cost with machine learning.
Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
VivanVatsa/carmaprycepred_machinelearning_project
Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars
Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
heroorkrishna/Basic-Text-Classification-Project
sms spam ham classification using NLP Techniques
Language: Jupyter Notebook - Size: 254 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
negativenagesh/Arecaverse
Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention
Language: Jupyter Notebook - Size: 89.2 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
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 - Size: 35.2 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
nitin-pandita/Machine-Learning
This Repo will contain the Machine Learning code and projects I will be doing
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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.
Language: Jupyter Notebook - Size: 61.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
Maimana-Kowatly/Automatic-Ticket-Classification
This project automates customer complaint classification for a financial company using NLP and machine learning. It applies topic modeling with NMF to categorize complaints, followed by supervised learning models for accurate classification.
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Rajitha0411/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.
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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!
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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.
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sarahloree/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.
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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.
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Jeffson-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.
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Tanzim-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 - Size: 139 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
TheDataDesk/SmartVisionAssist
enhance real-time visual perception, offering intelligent support for tasks ranging from object recognition to detailed analysis and decision-making.
Language: Python - Size: 72.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
MVK109/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.
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babi9181/Intern-Career
Titanic Machine Learning from Disaster
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shaktisingh25/Lead-Scoring-Case-Study-Group-
Case Study
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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.
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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.
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Selukartejas/Heart_Diseases_Prediction
A Heart Diseases Prediction built using Django web applications. Users can check whether it suffer heart diseases or not.
Language: HTML - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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.
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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.
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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.
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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.
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FarhanaTeli/BERT_TFIDF-BERT_Semantic_Text_Similarity
Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.
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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.
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mivinmathew/CNNImageClassifier
Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]
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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.
Language: Python - Size: 187 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
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.
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kpsijil2/Amazon-Employee
Amazon employee data to predict approval/ denial
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chethanhn29/Factors-Influecing-US-House-Price
Using publically available data for the national factors that impact supply and demand of homes in US, build a model to study the effect of these variables on home prices.
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chinmayeeguru/Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
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Manu-Gr/Multi-Linear-Regression---Assignment---50-Startups
Multi Linear Regression - Assignment - 50 Startups
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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)
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teja0508/Predicting-Tariff-Rates
Predicting-Tariff-Rates
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ISAIAH-Git/Titanic-Machine-Learning-from-Disaster
END TO END MACHINE LEARNING MODEL BUILDING
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Nikita9779/Loan_Default_Prediction_
Business Objective : To classify if the borrower will default the loan using borrower’s 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.
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Nikita9779/Python_ML
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
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krishcy25/PyCaret-RegressionModels-HousePricePrediction-KaggleCompetition
This repository contains code to build 21 Regression Machine Learning Models to predict the house price in Python using PyCaret. Models are compared against the statistics (RMSE), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was submitted to Kaggle Competition placing me in Top 20%
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