This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
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Updated
Aug 21, 2023 - R
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
The cancer like lung, prostrate, and colorectal cancers contribute up to 45% of cancer deaths. So it is very important to detect or predict before it reaches to serious stages. If cancer predicted in its early stages, then it helps to save the lives. Statistical methods are generally used for classification of risks of cancer i.e. high risk or l…
This is a type of decision tree algorithm( C 5.0) popularly used in machine learning applied on credits dataset.
A set of Machine Learning classification projects using R.
Analytical tool to help the company decide whether the employee will stay or not
Prediction whether the economic crisis will occur in Africa countries
Custom implementation of Random Forest based on rpart library.
Decision Trees, Bagging and Boosting
Bootcamp-R Study
Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming
Optimising Kaggle Dataset to classify drivers
In this project, I analyzed the NLP data of all the pitches in 'Sharktank' and generated a model to predict the significance of keywords in getting a deal using Random Forest & Decision trees.
Student grade prediction using different machine learning models
KNN, Naive Bayes and Trees - Wine UCI Dataset
The project aims to predict the winner of a basketball game, the ranking of the NBA Playoffs, the winner of each conference, as well as the winner of the NBA.
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