CLASSIFICATION-From-Scratch-Wine-Quality-PREDICTION

Predict whether a particular Telecom Customer will Churn or Not ?

This repository includes homeworks and final project for the course of Introduction to Machine Learning that Global AI Hub provides

A simple example of a machine learning library for land-cover classification

Data Science Experiments

Making use of Grid Search on AdaBoost Classifier for Hyperparameter Tuning.

Templates for Machine Learning Classification Models

Built a Minor and a Major Project as part of Verzeo Internship.

NTI-Final-Assignment Use flask(python) and shiny dashboard (R) to build simple user interface to see how choosing classification model may affect prediction accuracy, using Customer Churn Dataset.

Part of Machine Learning coursework

Atividades da formação em Machine Learning da Alura

Data collected from the patients of Sylhet Diabetes Hospital, Bangladesh.

Performed statistical-EDA and normalization analysis on digitized mass images with 10 nuclei features (radius, texture) Predicted malignant - benign cancer using Logistic, LDA-QDA, KNN, Lasso-Ridge classifiers with 0.89, 0.88, 0.92, 0.96 and 0.97 accuracies respectively along with decision boundaries and ROC curves

Spaceship Titanic - Analysis & Classification Models, House Prices -Analysis & Regression Models

Stepping through several different methods for creating machine learning models

Python in Data Science

Classification of Cancer Cells based on 30 Features.

This repository contains code for different machine and deep learning algorithms that classifies fashion-MNIST images.