This project is about to classify if an event is terrorist or other forms of crime as per the Global Standards.
-
Updated
Sep 13, 2020 - Jupyter Notebook
This project is about to classify if an event is terrorist or other forms of crime as per the Global Standards.
Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. To better understand this definition lets take a step back into ultimate goal of machine learning and model building. This is going to make more sense as I dive into specific examples and why Ensemble methods are u…
In This Repository you can find The Explanation and The Implementation of the Most Famous Machine Learning Algorithms
Implementation of various machine learning algorithms from scratch.
Using DCGAN and Ensemble Learning to classify the difference of the disease of different mangoes.
Face detection (class and pose) using various Classifiers - Own Implementation
From scratch Implementation and analysis of the algorithm Adaboost.
Implementation of an adaboost algorithm on the dataset HC_Body_Temperature
Sales Prediction for Big Mart Outlets The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities.
Performed Sunbase Customer Churn Prediction using Python
Using Various Regression Algorithms to Predict House Sales
Perceptron Implementation - implementing Empirical Risk Minimization (ERM) and k-folds cross-validation
Solution to the (MBTI) Myers-Briggs Personality Type Dataset on Kaggle
Scratch code for a machine learning algorithm involves writing code from scratch to implement the algorithm rather than using pre-built libraries or frameworks.
This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.
Ensemble Learning Tutorial
Created AdaBoost Model to predict whether the income is <=50K or >50K of an individual. In order to find potential donors.
Classification of Gamma and Hadron events by training classifieres and machine learning algorithms on the MAGIC Gamma Telescope dataset.
A Project to leverage machine learning algorithms to predict the potential donors based on a number of features.
Using Decision Tree and AdaBoost to classify languages(English/Dutch)
Add a description, image, and links to the adaboost-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the adaboost-algorithm topic, visit your repo's landing page and select "manage topics."