Classifying Forest Cover type

Forecasting AWS Spot Price by using Adaboosting on Rapidminer

A regression based modeling project to forecast the sales of Walmart

Random Forest Classification

Regression Analysis - Toyota Corolla price prediction

Data analysis using supervised learning techniques. The primary goal is to find potential donors for charity based on the features like age, income, etc.

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

This is my college practice work, where i try to learn and cover all the tree based regression algorithms (preferably in python).

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Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

Machine Learning: Aprendizado supervisionado

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

Kaggle Fraudes