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…
Analytical tool to help the company decide whether the employee will stay or not
One Data Set with multiple Algorithms
Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees
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.
Classification on the Kobe Bryant Shot Selection dataset (https://www.kaggle.com/c/kobe-bryant-shot-selection/data) using Decision Trees
Bootcamp-R Study
Predicting whether the customer will subscribe to Term Deposits through Machine Learning Algorithms by R.
Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming
KNN, Naive Bayes and Trees - Wine UCI Dataset
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
Credit risk analysis: based on the number of family dependents and the duration of the month's loan, classify the credit rating or risk rating using the decision tree method (C50 with R).
Application web R Shiny : Heart Disease Prediction
Prediction whether the economic crisis will occur in Africa countries
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