model-building

There are 1 repository under model-building topic.

OpenGeoVis / PVGeo
🌍 Python package of VTK-based algorithms to analyze geoscientific data and models
data-visualization geophysics geosciences paraview-plugin paraview visual-data-integration open-science python model-building vtk visualization 3d
Language:Python 206
awesome-cryoem
kuixu / awesome-cryoem
A collaborative list of awesome CryoEM (Cryo Electron Microscopy) resources.
cryo-em electron-microscopy density-map 3d-reconstruction 3d-denoise model-building protein-structures tomography cryoem
127
sibirbil / SMB
Stochastic gradient descent with model building
model-building deep-learning stochastic-gradient-descent machine-learning convergence-analysis second-order
Language:Python 26
atse0612 / Machine-Learning-A-Z
python numpy pandas matplotlib r regression bayesian-statistics random-forest kernel-support logistic-regression naive-bayes-classifier polynomial-regression linear-regression model-building thompson-sampling upper-confidence-bounds random-generation
Language:Jupyter Notebook 12
LSartore / pyrate
PyR@TE 3
beyond-the-standard-model high-energy-physics model-building particle-physics quantum-field-theory renormalization-group
Language:Python 12
vaitybharati / Assignment-04-Simple-Linear-Regression-2
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.
python numpy smf eda pandas data-visualization seaborn p-value model-predictions feature-engineering ols-regression statsmodels model-building simple-linear-regression correlation-analysis r-square-values t-score model-testing distplot regression-plot
Language:Jupyter Notebook 9
wyattm94 / Equity-Valuation-Modelling-in-Excel
This project consists of custom built modelling frameworks for pricing equity assets. Through the project's evolution, the framework evolves from a single case Discounted Cash Flow model to an interactive Probability Weighted Discounted Cash Flow model that includes multiple cases, multiple supporting models and is all built in Excel while utilizing the Visual Basic programming language.
excel vba dcf pwdcf equity-research asset-pricing forecasting model-building multi-model-frameworks
9
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.
mdp-framework markov-decision-process dqn deep-reinforcement-learning rl training-dqn-agent q-values-tracking actions states rewards hyperparameter-tuning model-building model-evaluation prediction minibatch-gradient-descent convergence data-visualization optimal-policy epsilon-decay epsilon-greedy
Language:Jupyter Notebook 8
ais-climber / a-la-mode
A neural network model builder, leveraging a neuro-symbolic interface.
conditional-logic hebbian-learning knowledge-representation modal-logic model-building model-extraction neuro-symbolic-ai
Language:Python 7
shanuhalli / Project-Real-Estate-Price-Prediction
Worked on Real Estate Price data analysis by scraping website from www.99acres.com to help the housing domain as well as estimate the sale value of various houses and open plots.
99acres beutifulsoup data-cleaning house-price-prediction project real-estate-price-prediction web-scraping deployment exploratory-data-analysis geocoder geopy matplotlib model-building model-selection preprocessing seaborn sklearn streamlit property-dataset
Language:Jupyter Notebook 7
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.
autogluon automl data-science exploratory-data-analysis feature-engineering hyperparameter-optimization jupyter-notebook machine-learning model-building python machine-learning-algorithms deep-learning boosting-algorithms ensemble-methods stacking amazon-web-services model-evaluation
Language:HTML 5
johngarg / neutrinomass
Tree-level completions of LNV operators for neutrino-mass model building
neutrino-physics effective-field-theory model-building high-energy-physics
Language:Python 5
shimanto-rehman / Loan-Prediction-using-Machine-Learning
💰 I’d be walking us through Loan prediction using some selected Machine Learning Algorithms.
cross-validation data-analysis data-science logistic-regression machine-learning model-building pandas pandas-dataframe pandas-python prediction-model predictive-modeling
Language:Jupyter Notebook 5
xaviermonin / Kelpie
Runtime EntityFramework model builder from metadata tables. Provides a static usage at compile time via proxies classes. Created as CRM/ERP core.
entity-framework dynamic entity runtime custom-fields entityframework model-building
Language:C# 5
pkiage / tool-credit-risk-modelling
Tool demonstrating building credit risk models
automated-machine-learning automl classification-report credit-risk credit-scoring data-science linear-model loan-default-prediction loans machine-learning model-building numpy pandas python reproducible-experiments roc-curve sklearn streamlit visualization xgboost
Language:Python 4
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-visualization machine-learning data-analytics data-cleaning data-manipulation exploratory-data-analysis feature-engineering model-building model-evaluation statistics python3 residual-analysis prediction-model
Language:Jupyter Notebook 3
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 image-data-generator image-processing keras mnist-classification model-building model-evaluation multi-inputs python3 tensorflow multi-outputs functional-api
Language:Jupyter Notebook 3
charlesreid1 / empirical-model-building
Jupyter Notebooks for visualizing and exploring empirical model building. http://charlesreid1.github.io/empirical-model-building
jupyter-notebook ipython-notebook empirical-models model-building experiment-design data-analysis emprical-data
Language:Jupyter Notebook 3
JaanviG / Prediction-using-Decision-Tree-Algorithm
To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
decision-tree-visualization matplotlib model-building numpy pandas seaborn sklearn-library accuracy-score train-test-split
Language:Jupyter Notebook 3
ManikHossain08 / Supervised-Binary-Classifier-For-IoT-Data-Stream
Supervised Binary Classifier For IoT Data Stream
pyspark spark-streaming python3 stream-processing model-building binary-classifiers naive-bayes-classifier random-forest
Language:Jupyter Notebook 3
stella-spyrou / Data-Analytics-Project---Classification-with-Python
In this project, I predict which customers are more likely to respond positively to a bank marketing call by setting up a regular savings deposit or subscribing the term “made_deposit”. Three classification algorithms have been developed in order to predict the target variable. Logistic Regression, Decision Tree and Multi-Layer Perceptron (MLP). The analysis of the project includes Data Summary, Data Preparation, Modelling, Results and Errors using Evaluation Metrics, Confusion Matrices and ROC Curve.
data-mining data-analytics python3 classification model-building machine-learning machine-learning-algorithms classification-algorithm data-preparation data-summary data-visualization data-cleaning data-science jupyter-notebook bank-data bank-deposit logistic-regression multi-layer-perceptron decision-tree
Language:Jupyter Notebook 3
vaitybharati / Assignment-04-Simple-Linear-Regression-1
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 regression.
python simple-linear-regression pandas numpy seaborn statsmodels smf eda data-visualization distplot feature-engineering correlation-analysis regression-plot ols-regression model-building model-testing model-predictions rsquare-values p-value t-score
Language:Jupyter Notebook 3
vaitybharati / Multi-Linear-Reg
Multi-Linear-Reg
python multiple-linear-regression correlation-matrix scatter-plot simple-linear-regression residual-analysis model-building
Language:Jupyter Notebook 3
vaitybharati / P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-
Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model
python numpy matplotlib sklearn decision-trees decision-tree-classifier entropy sklearn-tree sklearn-dataset label-encoder classification-report train-test-split model-building model-validation model-testing
Language:Jupyter Notebook 3
zeynpaktasli / StrokePrediciton
Stroke prediciton with EDA, data preprocessing, model building and sampling
classification data-science machine-learning stroke-prediction eda model-building smote data-preprocessing
Language:Jupyter Notebook 3
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 ridge-regression lasso-regression machine-learning business-analytics regularization data-analysis exploratory-data-analysis data-visualization statistics python3 data-cleaning data-manipulation feature-engineering linear-regression rfe model-building model-evaluation prediction-model
Language:Jupyter Notebook 2
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.
statistics machine-learning logistic-regression smote class-imbalance data-cleaning data-manipulation feature-engineering model-building model-evaluation random-forest-classifier xgboost telecom over-sampling pca rfe hyperparameter-tuning evaluation-metrics data-analytics classification
Language:Jupyter Notebook 2
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
Language:Jupyter Notebook 2
ITrustNumbers / A_Classification_Model_To_Predict_Blight_Compliance
A Binary Classification Problem Optimized For AU-ROC Curve,. From Data Cleaning to Model Validation, Classifying whether a blight ticket will be paid in time or not, Trained 3 different Classifier on a Highly imbalanced Data provided by Detroit Open Data Portal with around 160000 Tickets.
exploratory-data-analysis sklearn-classify classifier decision-trees logistic-regression binary-classification data-cleaning model-building validation knn-classifier data-visualization machine-learning-projects evaluation-metrics
Language:Jupyter Notebook 2
lasanthagithub / Identifying_Fraud_from_Enron_Emails_using_Machine_Learning
The fraud identification models were build using Python Scikit-learn machine-learning module.
machine-learning scikit-learn python model-building enron-emails fraud-detection feature-selection feature-extraction cross-validation classification regression-models knearest-neighbor-classifier random-forest svc principal-component-analysis
Language:Python 2
leosimoes / Streamlit-Logistic-Regressor
Web application for logistic regression made using Streamlit.
streamlit logistic-regression machine-learning model-building python
Language:Python 2
mizutanilab / MCTrace
GUI-based neuronal network model building
brain 3d-network model-building tomography micro-ct directx
2
FareedCodess / Obesity_Predictor
This data science project embarked on predicting obesity levels using machine learning techniques, leveraging a dataset encompassing attributes related to dietary habits and physical well-being across diverse populations.
data-analysis data-analytics data-science machine-learning model-building numpy prediction-model scikit-learn sklearn
Language:Jupyter Notebook 1
kolbyboyd / Exploration-Of-Tensorflow-X-Keras-Model-Performance-Utilizing-Cifar-10-Deep-Learning-Techniques
This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.
data-preprocessing documentation model-building model-evaluation model-training
Language:Jupyter Notebook 1
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
Language:Jupyter Notebook 1
Vamsi-Krishna-24 / Customer-Segmentation-Sentiment-Analysis-and-Predictive-Modelling.
This project carefully studies the customer reviews of a airline company, around 10,000+ reviews are collected through webscrapping and and by sentiment analysis captured the expierence of the customers. And based on that designed a Machine learning algorithm which is a random forest classifier to predict customers who are likely to book seats.
data-analysis model-building random-forest-classifier sentiment-analysis web-sc
Language:Python 1

model-building

OpenGeoVis / PVGeo

kuixu / awesome-cryoem

sibirbil / SMB

atse0612 / Machine-Learning-A-Z

LSartore / pyrate

vaitybharati / Assignment-04-Simple-Linear-Regression-2

wyattm94 / Equity-Valuation-Modelling-in-Excel

ChaitanyaC22 / Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver

ais-climber / a-la-mode

shanuhalli / Project-Real-Estate-Price-Prediction

ChaitanyaC22 / Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon

johngarg / neutrinomass

shimanto-rehman / Loan-Prediction-using-Machine-Learning

xaviermonin / Kelpie

pkiage / tool-credit-risk-modelling

ChaitanyaC22 / Car-Price-Prediction-Model-for-an-automobile-consulting-company

ChaitanyaC22 / Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification

charlesreid1 / empirical-model-building

JaanviG / Prediction-using-Decision-Tree-Algorithm

ManikHossain08 / Supervised-Binary-Classifier-For-IoT-Data-Stream

stella-spyrou / Data-Analytics-Project---Classification-with-Python

vaitybharati / Assignment-04-Simple-Linear-Regression-1

vaitybharati / Multi-Linear-Reg

vaitybharati / P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-

zeynpaktasli / StrokePrediciton

ChaitanyaC22 / House-Price-Prediction-Project-for-a-US-based-housing-company

ChaitanyaC22 / Telecom-Churn-Prediction

ehtisham-sadiq / AI-Pioneers-DataScience-Arena

ITrustNumbers / A_Classification_Model_To_Predict_Blight_Compliance

lasanthagithub / Identifying_Fraud_from_Enron_Emails_using_Machine_Learning

leosimoes / Streamlit-Logistic-Regressor

mizutanilab / MCTrace

FareedCodess / Obesity_Predictor

kolbyboyd / Exploration-Of-Tensorflow-X-Keras-Model-Performance-Utilizing-Cifar-10-Deep-Learning-Techniques

SaravananSuriya / Final-Retail-Sales-Forecasting

Vamsi-Krishna-24 / Customer-Segmentation-Sentiment-Analysis-and-Predictive-Modelling.