Prediction of survival using sklearn XGBoost
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Updated
Feb 5, 2020 - Jupyter Notebook
Prediction of survival using sklearn XGBoost
Predicted the imbd rating of the movie using machine learning algorithm and Neural Network
Capstone project for Udacity's Machine Learning Engineer Nanodegree and a submission to Kaggle's Allstate Severity Claims competition.
Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.
All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.
Machine Learning Projects
This repository contains PySpark code that implements three machine learning models for predicting diabetes readmission: Decision Forest, Random Forest, and Gradient Boosted models. These models are trained and evaluated using patient information.
Predicting Salary for US Census Salary Data
West Nile Virus prediction and cost benefit analysis
Machine learning project done during Monsoon Semester 2023 in IIITD.
Using Exploratory Data Analysis(EDA) and building different Machine Learning Models(Logistic Regression, Decision Tree, Random Forest and XGBoost) We'll help Salifort Motors to predict employee turnover rate and retain their talents.
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