Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

Machine Learning Exercises from Online Course (Coursera)

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.

2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction,…

Tuner Implementation of Extrapolating Learning Curves

Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home

Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.

Some applications on functions of sklearn.learning_curve

A dataset of meteorological sensors with data cleaning and finding the best learning model for forecasting

Tweet Sentiment Classifier using Classic Machine Learning Algorithms. This repository provides my solution for the 2nd Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.

Exploring deep learning on Cooley

Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.

This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it cove…

Previsão do salário (acima ou abaixo de 50K) utilizando decision tree classifier, otimização por random search, cross validation, validation curve, learning curve.

Implementing regularised linear regression and using it to study models with different bias-variance properties. Insights for applying machine learning.

Cataract classification