Projects in Awesome Lists tagged with model-building
A curated list of projects in awesome lists tagged with model-building .
https://github.com/OpenGeoVis/PVGeo
🌍 Python package of VTK-based algorithms to analyze geoscientific data and models
3d data-visualization geophysics geosciences model-building open-science paraview paraview-plugin python visual-data-integration visualization vtk
Last synced: 14 Nov 2024
https://github.com/firaskahlaoui/heart-disease-prediction
The Heart Disease Prediction project aims to predict the likelihood of heart disease using machine learning techniques.
data-cleaning data-visualization flask jupyter-notebook kaggle-dataset model-building python3
Last synced: 14 Apr 2025
https://github.com/chaitanyac22/car-price-prediction-model-for-an-automobile-consulting-company
The goal of this project is to build multiple linear regression models for the prediction of car prices.
business-analytics data-analytics data-cleaning data-manipulation data-visualization exploratory-data-analysis feature-engineering machine-learning model-building model-evaluation prediction-model python3 residual-analysis statistics
Last synced: 13 Apr 2025
https://github.com/chaitanyac22/udacity-aws-mle-nd-project1-bike-sharing-demand-with-autogluon
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
amazon-web-services autogluon automl boosting-algorithms data-science deep-learning ensemble-methods exploratory-data-analysis feature-engineering hyperparameter-optimization jupyter-notebook machine-learning machine-learning-algorithms model-building model-evaluation python stacking
Last synced: 13 Apr 2025
https://github.com/johngarg/neutrinomass
Tree-level completions of LNV operators for neutrino-mass model building
effective-field-theory high-energy-physics model-building neutrino-physics
Last synced: 29 Nov 2024
https://github.com/xaviermonin/kelpie
Runtime EntityFramework model builder from metadata tables. Provides a static usage at compile time via proxies classes. Created as CRM/ERP core.
custom-fields dynamic entity entity-framework entityframework model-building runtime
Last synced: 21 Apr 2025
https://github.com/chaitanyac22/deep-rl-project---maximize-total-profits-earned-by-cab-driver
The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.
actions convergence data-visualization deep-reinforcement-learning dqn epsilon-decay epsilon-greedy hyperparameter-tuning markov-decision-process mdp-framework minibatch-gradient-descent model-building model-evaluation optimal-policy prediction q-values-tracking rewards rl states training-dqn-agent
Last synced: 01 Feb 2025
https://github.com/chaitanyac22/multi-input-multi-output-mnist-image-digit-and-summed-output-classification
The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.
cnn-classification data-visualization deep-neural-networks exploratory-data-analysis functional-api image-data-generator image-processing keras mnist-classification model-building model-evaluation multi-inputs multi-outputs python3 tensorflow
Last synced: 27 Mar 2025
https://github.com/ehtisham-sadiq/ai-pioneers-datascience-arena
This repository is dedicated to the AI Amigos team's participation in the Artificial Intelligence (AI) competition with a focus on Data Science.
artificial-intelligence competition data-analysis data-science data-visualization machine-learning model-building model-evaluation numpy pandas python3 supervised-learning unsupervised-learning
Last synced: 28 Feb 2025
https://github.com/chaitanyac22/telecom-churn-prediction
In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.
class-imbalance classification data-analytics data-cleaning data-manipulation evaluation-metrics feature-engineering hyperparameter-tuning logistic-regression machine-learning model-building model-evaluation over-sampling pca random-forest-classifier rfe smote statistics telecom xgboost
Last synced: 27 Mar 2025
https://github.com/chaitanyac22/house-price-prediction-project-for-a-us-based-housing-company
The goal of this project is to garner data insights using data analytics to purchase houses at a price below their actual value and flip them on at a higher price. This project aims at building an effective regression model using regularization (i.e. advanced linear regression: Ridge and Lasso regression) in order to predict the actual values of prospective housing properties and decide whether to invest in them or not.
advanced-linear-regression business-analytics data-analysis data-cleaning data-manipulation data-visualization exploratory-data-analysis feature-engineering lasso-regression linear-regression machine-learning model-building model-evaluation prediction-model python3 regularization rfe ridge-regression statistics
Last synced: 27 Mar 2025
https://github.com/leosimoes/streamlit-logistic-regressor
Web application for logistic regression made using Streamlit.
logistic-regression machine-learning model-building python streamlit
Last synced: 24 Mar 2025
https://github.com/praveendecode/us_hpi_prediction
Explore the dynamics of US home prices over two decades using a robust Random Forest Regressor model. Achieving a 99.87% R2 score, uncover key factors influencing real estate trends
exploratory-data-analysis feature-engineering feature-importance insights model-building model-selection predictive-modeling python usahpi
Last synced: 04 Apr 2025
https://github.com/saravanansuriya/final-retail-sales-forecasting
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.
data-wrangling eda model-building pandas python-script streamlit-webapp
Last synced: 22 Mar 2025
https://github.com/sayamalt/fraudulent-transactions-prediction
Successfully trained a machine learning model which can predict whether a given transaction is fraud or not.
data-visualization exploratory-data-analysis imblearn machine-learning model-based-testing model-building predictive-analytics sklearn
Last synced: 19 Feb 2025
https://github.com/virajbhutada/google-stock-price-forecasting-lstm
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting
Last synced: 27 Feb 2025
https://github.com/ehtisham-sadiq/building-an-ml-based-heart-disease-diagnosis-system-with-flask
It is an end-to-end project that combines machine learning to create a user-friendly Heart Disease Diagnosis System, powered by Flask.
data-analysis exploratory-data-analysis feature-engineering flask machine-learning model-building model-evaluation pipelines python3 rest-api
Last synced: 28 Feb 2025
https://github.com/chaitanyac22/syntactic-processing-pos-tagger
NLP: HMMs and Viterbi algorithm for POS tagging
hidden-markov-model hmm-based-pos-tagger hmm-viterbi-algorithm model-building model-evaluation modified-viterbi-pos-tagger natural-language-processing nlp nltk penn-treebank syntactic-analysis universal-tagset viterbi-algorithm
Last synced: 27 Mar 2025
https://github.com/chaitanyac22/numerical_tictactoe_agent_using_reinforcement_learning
Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.
actions convergence episodes epsilon-decay epsilon-greedy hyperparameter-tuning learning-rate markov-decision-process mdp-framework model-building policy q-learning q-learning-algorithm q-value q-value-iteration reinforcement-learning rewards rl states
Last synced: 27 Mar 2025
https://github.com/chaitanyac22/deep_learning_hand_gesture_recognition_project
The objective of this project is to recognize hand gestures using state-of-the-art neural networks.
batch-normalization cnn cnn-rnn-stack conv3d convolutional-neural-networks data-generators deep-learning dropouts gru keras lstm model-building model-evaluation neural-networks prediction recurrent-neural-networks rnn tensorflow transfer-learning
Last synced: 27 Mar 2025
https://github.com/chaitanyac22/autistic-spectrum-disorder-asd-detection
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
classification-algorithm healthcare jupyter-notebook kneighborsclassifier logistic-regression machine-learning machine-learning-algorithms model-building model-evaluation modular-code pipelines python3 random-forest social-sciences xgboost
Last synced: 27 Mar 2025
https://github.com/chaitanyac22/udacity-cvnd-project1-facial-keypoints-detection
Applying knowledge of image processing and deep learning to create a convolutional neural network (CNN) for facial keypoints (eyes, mouth, nose, etc.) detection.
cnn convolutional-neural-networks evaluation facial-keypoints-detection filters haar-cascade haarcascade-frontalface model-building opencv python3 pytorch
Last synced: 27 Mar 2025
https://github.com/vidhi1290/hr_employee_prediction
"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp
Last synced: 28 Mar 2025
https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.
data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn
Last synced: 20 Feb 2025
https://github.com/badranalyst/restaurant-reviews-sentiment-analysis-nlp-case-study
This project analyzes restaurant reviews using Natural Language Processing (NLP) for sentiment analysis. It covers data exploration, pre-processing (NLTK text cleaning), model building, prediction, and deployment. The goal is to predict sentiment from reviews using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
data-analysis data-science eda exploratory-data-analysis matplotlib-pyplot model model-building numpy pandas pre-processing predictive-modeling python seaborn
Last synced: 20 Feb 2025
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score
Last synced: 27 Feb 2025
https://github.com/elmezianech/food-delivery-time-prediction
This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.
artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression rmse standardisation xgboost-regression
Last synced: 06 Mar 2025
https://github.com/manishkr1754/loan_eligibility_prediction_python
Predict Loan Eligibility for a Finance company
bivariate-analysis data-visualization decision-trees evaluation-metrics exploratory-data-analysis feature-engineering hypothesis-generation logistic-regression matplotlib model-building numpy pandas random-forest seaborn sklearn univariate-analysis xgboost
Last synced: 30 Mar 2025
https://github.com/saravanansuriya/singapore-resale-flat-prices-predicting
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.
data-preprocessing eda machine-learning-algorithms model-building pandas python streamlit-webapp
Last synced: 22 Mar 2025
https://github.com/hannah-aji/telco-customer-churn-prediction
This project aims to predict (and prevent) customer churn in the telecom industry with our advanced analytics and machine Learning.
business-intelligence churn-prediction model-building power-bi sales-analysis visualization
Last synced: 17 Feb 2025
https://github.com/blacksujit/restaurant-recommendation-system
The Restaurant Recommendation System recommends restaurants based on user inputs such as cuisine preference and price range. It utilizes a Flask server to handle backend operations and communicate with a trained Machine Learning model. The model predicts suitable restaurants based on the input criteria .
application building-block deep-learning developement learning-by-doing learning-exercise machine-learning mlops model-building problem-solving problemsolving project-management recommendation-system
Last synced: 24 Mar 2025
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
Last synced: 27 Feb 2025
https://github.com/patilsukanya/telecom-customer-churn-rate-analysis-project
The technology used:
data-science deployment eda feature-engineering machine-learning model-building python visualization
Last synced: 08 Mar 2025
https://github.com/patilsukanya/assignment-04.-simple-linear-regression-q1
Used libraries and functions as follows:
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-testing numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statmodels t-score
Last synced: 08 Mar 2025
https://github.com/leosimoes/streamlit-linear-regressor
Web application for linear regression made using Streamlit.
linear-regression machine-learning model-building python streamlit
Last synced: 24 Mar 2025
https://github.com/sejalmankar1012/customer_churn
The goal of this project was to develop a machine learning model that predicts customer churn based on historical customer data.
dataset deep-learning deployment machine-learning model-building modeling numpy optimization pandas seaborn streamlit tensorflow
Last synced: 21 Mar 2025
https://github.com/yukta026/book_recommender_system
I have created a book recommender system that recommends similar books to the reader based on his/her interest. This project shows results of collaborative and content-based filtering of the given dataset.
collaborative-filtering content-based-filtering feature-extraction model-building pre-processing recommender-system
Last synced: 25 Feb 2025
