Application of Supervised Learning algorithms
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Updated
Apr 8, 2017 - R
Application of Supervised Learning algorithms
The repo contains all my codes for Data Analysis on MNIST dataset. The algorithms used were as follows: Random Forest, SVM, KNN, Convolution Neural Nets.
Examine the accuracy of match outcome prediction solely based on hero selection
Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ion…
Set of R codes on Data Cleaning , Analysis and Interpretation. Running Linear and Logistic Regressions and doing classification in R.
Exercises in Machine Learning with R
Statistical Analysis Course's Project - FCIS
The repository for all the data science projects I am doing
Execução dos códigos do Livro Machine Learning with R Packt
This is a free tutorial guide for introduction to basic clustering and classification techniques in R
Applying Naive Bayes Algorithm to determine if breast cancer is benign or malignant
Applied Knn to a list of spotify songs to determine which ones given a set of attributes are top 100
Portfolio of machine learning projects
Chatbot developed in R Shiny using 2 KNN models for classification with Caret library.
Stock prediction using xgboost and knn classification done in R
Implementation of k-Nearest Neighbours algorithm for use on geometric morphometric data and a simulated dataset.
Data Analytics Programs
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