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 224
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
142
sibirbil / SMB
Stochastic gradient descent with model building
convergence-analysis deep-learning machine-learning model-building second-order stochastic-gradient-descent
Language:Python 26
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 17
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
Language:Jupyter Notebook 14
LSartore / pyrate
PyR@TE 3
particle-physics renormalization-group high-energy-physics quantum-field-theory beyond-the-standard-model model-building
Language:Python 14
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 model-building python3 kaggle-dataset
Language:Jupyter Notebook 13
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
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
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
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
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
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
Language:HTML 7
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
Language:Jupyter Notebook 6
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 6
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
Language:Jupyter Notebook 5
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
Language:Jupyter Notebook 5
shimanto-rehman / Loan-Prediction-using-Machine-Learning
💰 I’d be walking us through Loan prediction using some selected Machine Learning Algorithms.
machine-learning data-science pandas pandas-dataframe pandas-python logistic-regression cross-validation predictive-modeling prediction-model model-building data-analysis
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
data-science credit-risk python model-building streamlit visualization automl automated-machine-learning loan-default-prediction loans reproducible-experiments credit-scoring xgboost machine-learning numpy pandas sklearn linear-model roc-curve classification-report
Language:Python 4
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
Language:HTML 3
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
Language:Jupyter Notebook 3
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
Language:Jupyter Notebook 3
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
Language:Jupyter Notebook 3
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
Language:Jupyter Notebook 3
charlesreid1 / empirical-model-building
Jupyter Notebooks for visualizing and exploring empirical model building. http://charlesreid1.github.io/empirical-model-building
data-analysis empirical-models emprical-data experiment-design ipython-notebook jupyter-notebook model-building
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.
bank-data bank-deposit classification classification-algorithm data-analytics data-cleaning data-mining data-preparation data-science data-summary data-visualization decision-tree jupyter-notebook logistic-regression machine-learning machine-learning-algorithms model-building multi-layer-perceptron python3
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
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
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 2
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
Language:Jupyter Notebook 2

model-building

OpenGeoVis / PVGeo

kuixu / awesome-cryoem

sibirbil / SMB

shanuhalli / Project-Real-Estate-Price-Prediction

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

LSartore / pyrate

FirasKahlaoui / heart-disease-prediction

atse0612 / Machine-Learning-A-Z

wyattm94 / Equity-Valuation-Modelling-in-Excel

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

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

ais-climber / a-la-mode

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

ChaitanyaC22 / Telecom-Churn-Prediction

johngarg / neutrinomass

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

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

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

xaviermonin / Kelpie

pkiage / tool-credit-risk-modelling

ChaitanyaC22 / Autistic-Spectrum-Disorder-ASD-Detection

ChaitanyaC22 / Deep_Learning_Hand_Gesture_Recognition_Project

ChaitanyaC22 / Numerical_TicTacToe_Agent_using_Reinforcement_Learning

ChaitanyaC22 / Syntactic-Processing-POS-Tagger

ChaitanyaC22 / Udacity-CVND-Project1-Facial-Keypoints-Detection

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

ehtisham-sadiq / AI-Pioneers-DataScience-Arena

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

virajbhutada / google-stock-price-forecasting-lstm