Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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Updated
Jun 1, 2024 - R
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.
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.
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,…
Built 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.
Tuner Implementation of Extrapolating Learning Curves
Machine Learning Exercises from Online Course (Coursera)
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.
Supervised regression to predict Boston housing price
Regularized linear regression model to predict the water flow from a dam | Examined effects of bias vs variance
Developed user interface with own preferable customization
Developed simple web-application for testing (DOM) functionalities based on Bootstrap
Mini sorter for country organizations based on jQuery.
Kaggle Notebooks Repo
Deep Learning using apple quality dataset
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…
Developing very simple and default user interface
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