Udacity Model Evaluation Project

Project 1 for Udacity Machine Learning Nanodegree

Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).

12 Classifiers are used to compare their efficiency using recall, precision, support and accuracy for model evaluation.

Udacity Machine Learning Nano degree Program. Project Predicting House prices in Boston

Udacity project on using linear regression to predict housing prices in Boston.

Boston house prices prediction for machine learning nanodegree

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Machine Learning Models

This course consists of data wrangling, visualization, and decision and model evaluating.

Predicting Boston Housing Prices using Machine Learning

Repository to save projects from udacity's machine learning engineer nanodegree

Solve complex real-life problems with the simplicity of Keras

Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and pdp.

Solved problem of famous book in machine learning, deep learning for learners

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

Word2Vec implementation using tensorflow

A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library

This Repository contains machine learning classification projects