Machine Learning


Linear Regression Regularized Regression Models Training and Testing In Machine Learning we create models to predict the outcome of certain events, to measure if the model is good enough, we can use a method called Train/Test. Train/Test is a method to measure the accuracy of your model. Clustering Classification Classification method is one of the supervised machine learning methods where the outcome is discrete. Bagging and Boosting Naïve Bayes Logistic Regression DataPreprocessing Model Selection Model Selection is the process of selecting the best machine learning model among the list of models based on different evaluation metrics. Data Mining Data Mining is a method of sifting through massive data sets to discover meaningful pattern. Decision Tree K-Means Clustering Random Forest
Topic Replies Views Activity
0 1436 September 10, 2021
1 4566 March 29, 2024
1 3113 March 21, 2024
1 3011 March 21, 2024
1 1371 March 21, 2024
1 2013 March 19, 2024
1 3873 March 19, 2024
1 1932 March 19, 2024
1 4450 March 18, 2024
1 2529 March 18, 2024
1 2515 March 15, 2024
1 4047 March 15, 2024
1 3260 March 15, 2024
1 5360 March 15, 2024
1 3653 March 14, 2024
1 2341 March 14, 2024
1 4432 March 14, 2024
1 4668 March 13, 2024
1 2399 March 11, 2024
1 1466 March 11, 2024
0 2822 October 18, 2017
0 3497 October 18, 2017
0 2425 October 5, 2017
1 1491 April 13, 2023
0 6806 January 26, 2023
1 5451 January 1, 2023
3 2108 December 30, 2022
2 1353 December 30, 2022
0 2890 October 16, 2017
1 1370 December 22, 2022