Iris Species Classification usin various ML models.
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Updated
Feb 15, 2023 - Jupyter Notebook
Iris Species Classification usin various ML models.
A Jupyter Notebook explaining the Gradient Tree Boosting algorithm [German]
This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.
Gained insights into the New York City Airbnb rental properties and discovered the trends in price and customer satisfaction level. Also discovered the kind of rentals receive what type of satisfaction level and predicted the likely satisfaction level of the new rentals leveraging advanced machine learning clustering algorithms such as k-means a…
A Python Package for a Sparse Additive Boosting Regressor
Gradient boosting for OCaml using the R xgboost package under the carpet
Few simple implementations of common ML algorithms from scratch (numpy)
A Spark application for weather forecasting using ensemble of tree-based models, trained on long-term historical data.
This is team 2's work for Project 2.
Using XGBoost , Gradient Boosted Trees to perform advanced regression and classification on structured tabular data
Analysis of information about startup companies done using machine learning and data analytics methods to predict the success of the startup companies.
Developed a model/Spark ML pipeline stream to identify potential customers that may purchase top up services in the future.
Gained insights into the New York City Airbnb rental properties and concluded the neighbourhoods with most attractive Airbnb rentals and the type of rental properties with most reviews. Furthermore, concluded the economic viability of the rentals with missing reviews through machine learning models such as k-NN, decision tree and gradient booste…
In this repository, I implemented Gradient Boosting Trees using XGBoost to predict customer churn. The "Churn-modeling" dataset was downloaded from Kaggle.
Basic implementation of Gradient Boosting Trees
Worked on three use cases- Churn data analysis, Movie recommendation engine and Intrusion detection system.
Fraud detection on mobile banking transactions
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