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This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
This tutorial explains data science at the command line with python and R to build models including data visualization, exploration and machine learning.
This tutorial explains using isotonic regression and platt scaling to calibrate predicted probabilities to improve logloss error in data set
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
Explore Ridge and Lasso Regression, their mathematical principles & practical applications in Python to enhance regression skills. Read Now!
Here is the tutorial on machine learning using xlminer in excel on multiple linear regression, logistic regression and clustering algorithm
This article explains the use of forward selection techniques in ensemble modeling using R programming with a careful attempt to avoid overfitting
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