Predicted the imbd rating of the movie using machine learning algorithm and Neural Network
-
Updated
Feb 14, 2020 - Jupyter Notebook
Predicted the imbd rating of the movie using machine learning algorithm and Neural Network
Python repo showcasing hands-on implementations of advanced ML algorithms. It includes practicals on neural networks, Gaussian mixture models, Naive Bayes, and generative vs discriminative models, along with sample datasets and visualizations.
All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.
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.
A machine learning project that uses an XGBoost model to predict optimal pricing strategies for Walmart products, incorporating confidence scores.
The task focuses on predicting and forecasting monthly and daily charges for a healthcare provider to submit to insurance companies. This ensures accurate billing and streamlines operations. Leveraging analytics and historical data enables precise charge projections aligned with insurance policies.
Machine Learning Projects
Comprehensive machine learning project for heart disease prediction using clinical data. Includes feature engineering, model tuning, ensemble learning, and performance analysis across multiple algorithms.
ML pipeline predicting EPL match outcomes using xG, xThreat, and player ratings (Random Forest, XGBoost)
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.
Hops Flavor & Aroma Profiler
Premium Test cricket platform — 898 matches, 1025 players, 4 ML models, AI analyst
Prediction of survival using sklearn XGBoost
Predicting Salary for US Census Salary Data
The task involves predicting and forecasting monthly and daily payments for a healthcare provider based on charges submitted to insurance. This ensures accurate financial planning, streamlines payment tracking, and minimizes discrepancies.
West Nile Virus prediction and cost benefit analysis
Capstone project for Udacity's Machine Learning Engineer Nanodegree and a submission to Kaggle's Allstate Severity Claims competition.
Electricity demand forecasting using XGBoost with time-series feature engineering and a Streamlit prediction app
Add a description, image, and links to the xg-boost topic page so that developers can more easily learn about it.
To associate your repository with the xg-boost topic, visit your repo's landing page and select "manage topics."