Predicted the imbd rating of the movie using machine learning algorithm and Neural Network
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Updated
Feb 14, 2020 - Jupyter Notebook
Predicted the imbd rating of the movie using machine learning algorithm and Neural Network
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.
Capstone project for Udacity's Machine Learning Engineer Nanodegree and a submission to Kaggle's Allstate Severity Claims competition.
West Nile Virus prediction and cost benefit analysis
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.
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.
Machine learning project done during Monsoon Semester 2023 in IIITD.
Prediction of survival using sklearn XGBoost
Predicting Salary for US Census Salary Data
Machine Learning Projects
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