Machine-Learning-With-R

Learn the basics of prediction using machine learning. This Cource we will covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
Data		Data
img		img
.gitignore		.gitignore
1. R Basic Syntax.ipynb		1. R Basic Syntax.ipynb
18.Load_Data In R.ipynb		18.Load_Data In R.ipynb
19.Missing Values.ipynb		19.Missing Values.ipynb
2. Data Types R.ipynb		2. Data Types R.ipynb
20.R Exporting Data.ipynb		20.R Exporting Data.ipynb
21.Correlation in R.ipynb		21.Correlation in R.ipynb
22.Data Visualization.ipynb		22.Data Visualization.ipynb
23.Advertising Data Set For Linear Regression.ipynb		23.Advertising Data Set For Linear Regression.ipynb
24. Linear Regression Model.ipynb		24. Linear Regression Model.ipynb
25. Logistic Regression in R .ipynb		25. Logistic Regression in R .ipynb
26.KNN.ipynb		26.KNN.ipynb
27.Tree.ipynb		27.Tree.ipynb
BarCharts.R		BarCharts.R
Data Loading.ipynb		Data Loading.ipynb
Data Structure - list.ipynb		Data Structure - list.ipynb
DataFormats.R		DataFormats.R
Data_Visualization.html		Data_Visualization.html
Describe.R		Describe.R
Descriptive Statistics.ipynb		Descriptive Statistics.ipynb
Economist_Assignment_Data.csv		Economist_Assignment_Data.csv
EnteringData.R		EnteringData.R
ExampleGraph.png		ExampleGraph.png
Factors.R		Factors.R
HMM.R		HMM.R
HierarchicalClustering.R		HierarchicalClustering.R
Histograms.R		Histograms.R
ImportingData.R		ImportingData.R
InstallingR.R		InstallingR.R
Intermediate Plotting.ipynb		Intermediate Plotting.ipynb
Introduction To ggplot2 .ipynb		Introduction To ggplot2 .ipynb
Iris Data Set all algorithm.ipynb		Iris Data Set all algorithm.ipynb
KMeans_Sol.html		KMeans_Sol.html
KNN_code.html		KNN_code.html
LICENSE		LICENSE
LINEAR_REGRESSION.r		LINEAR_REGRESSION.r
Linear Regression With R.ipynb		Linear Regression With R.ipynb
Linear_Regression_Sol.html		Linear_Regression_Sol.html
Logistic_Regression_Sol.html		Logistic_Regression_Sol.html
Machine_Learning.ipynb		Machine_Learning.ipynb
Neural_Sol.html		Neural_Sol.html
OverlayingPlots.R		OverlayingPlots.R
Packages.R		Packages.R
Plot.R		Plot.R
Poly.R		Poly.R
R ANOVA One way & Two way .ipynb		R ANOVA One way & Two way .ipynb
README.md		README.md
RStudio.R		RStudio.R
Regression.R		Regression.R
Reinforcement learning.R		Reinforcement learning.R
Scatterplots.R		Scatterplots.R
SelectingCases.R		SelectingCases.R
Summary.R		Summary.R
Tidyverse.R		Tidyverse.R
Trees_Sol.html		Trees_Sol.html
Vector_Sol.html		Vector_Sol.html
create-patients-data.R		create-patients-data.R
iris-data.csv		iris-data.csv
linearregressionISIR.R		linearregressionISIR.R
requirements.r		requirements.r

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