xgboost-algorithm

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

machine-learning exploratory-data-analysis machine-learning-algorithms data-visualization survival-analysis healthcare-datasets cox-regression healthcare-application time-to-event xgboost-algorithm lgbm kaplan-meier-plot heartfailure cardiovascular-diseases kaplanmeierfitter

UpdatedNov 4, 2023
Jupyter Notebook

pankajrawat9075 /fantasy-sports-prediction

Star36

We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost

python machine-learning random-forest support-vector-machines fantasy-sports final-year-project xgboost-algorithm dream11

UpdatedMar 28, 2024
Python

jaydipkumar /Data-Science-Python

Star35

Data Science Python Beginner Level Project

neural-network random-forest machine-learning-algorithms datascience pca artificial-neural-networks convolutional-neural-networks kmeans support-vector-machines decision-tree nlp-machine-learning clustering-algorithm forecasting-models machine-learning-tutorials xgboost-algorithm machine-learning-projects knn-algorithm eclat-algorithm apriori-algorithm-python machine-learning-projects-beginners

UpdatedJul 11, 2020
Jupyter Notebook

vaishnavipatil29 /Career-Guidance-ML-Project

Star35

Career Guidance System Using Machine Learning Techniques

python machine-learning decision-tree-classifier xgboost-algorithm supportvectormachines careerguidance

UpdatedNov 30, 2020
Jupyter Notebook

farhanchoudhary /Machine_Learning_A-Z_All_Codes_and_Templates

Star34

All codes, both created and optimized for best results from the SuperDataScience Course

natural-language-processing reinforcement-learning deep-learning clustering cross-validation naive-bayes-classifier thompson-sampling neural-networks classification dimensionality-reduction grid-search principal-component-analysis clustering-algorithm upper-confidence-bounds k-fold xgboost-algorithm association-rule-learning machine-learning-az

UpdatedNov 5, 2017
Python

sohammanjrekar /Multiple-Disease-Prediction-Webapp

Star30

Designed web app employs the Streamlit Python library for frontend design and communicates with backend ML models to predict the probability of diseases. It's capable of predicting whether someone has Diabetes, Heart issues, Parkinson's, Liver conditions, Hepatitis, Jaundice, and more based on the provided symptoms, medical history, and results.

machine-learning python3 xgboost-algorithm disease-prediction streamlit-webapp

UpdatedJan 6, 2025
Python

RudreshVeerkhare /CustomXGBoost

Star26

Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.

numpy gradient-boosting-machine rmsprop adam-optimizer xgboost-algorithm implementation-of-algorithms

UpdatedJul 24, 2020
Jupyter Notebook

yogeshwaran-shanmuganathan /Airline-Passenger-Satisfaction

Star25

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

python random-forest exploratory-data-analysis jupyter-notebook naive-bayes-classifier logistic-regression decision-tree-classifier customer-satisfaction factors knn-classification rapidminer xgboost-algorithm crisp-dm airline-passengers adaboost-classifier passenger-satisfaction airline-passenger-satisfaction

UpdatedSep 1, 2023
Jupyter Notebook

ali-ghorbani-k /Credit-Risk-Management

Star21

A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (…

deep-learning lightgbm xgboost-algorithm catboost

UpdatedSep 13, 2022
Jupyter Notebook

eswar3 /Zillow-prediction-models

Star19

Machine Learning Project using Kaggle dataset

machine-learning numpy scikit-learn eda scikitlearn-machine-learning parameter-tuning xgboost-algorithm

UpdatedFeb 17, 2019
Jupyter Notebook

Hashehri /Network-Traffic-Classification-UNSW-NB15

Star19

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

machine-learning ai deep-learning random-forest sklearn python3 logistic-regression pickle network-analysis network-security classification-algorithims knn-classification voting-classifier xgboost-algorithm stacking-ensemble decsion-tree