Nitish KunduExploring ResNet50: An In-Depth Look at the Model Architecture and Code ImplementationResNet50 is a deep convolutional neural network (CNN) architecture that was developed by Microsoft Research in 2015. It is a variant of the…Jan 23, 20232Jan 23, 20232
Nitish KunduUnleashing the Power of Categorical Features: How to Encode for Machine Learning AlgorithmsCategorical features are variables that can take on one of a limited number of values. For example, a categorical feature might be the…Jan 7, 2023Jan 7, 2023
Nitish KunduRandom Forests Vs Gradient Boosting: An Overview of Key Differences and When to Use Each MethodRandom forests and Gradient boosting are popular machine learning algorithms that can be used for a variety of tasks, such as regression…Jan 5, 2023Jan 5, 2023
Nitish KunduUnlocking the Power of Random Forests: A Guide to Implementing and Understanding the Algorithm”Random forests are a popular machine learning method for a variety of tasks, including classification and regression. They are an ensemble…Jan 5, 2023Jan 5, 2023
Nitish KunduThe Advantages and Disadvantages of Random Forest: A Comprehensive Look at the Machine Learning…Random Forest is a popular machine learning algorithm that is used for both classification and regression tasks. It is known for its…Dec 27, 2022Dec 27, 2022
Nitish Kundu“The Future of Machine Learning: Why XGBoost is Leading the Way”XGBoost, or Extreme Gradient Boosting, is a popular and effective machine learning algorithm used for classification and regression tasks…Dec 27, 2022Dec 27, 2022
Nitish KunduA Comprehensive Guide to XGBoost: Understanding and Implementing the Powerful Machine Learning…XGBoost, short for Extreme Gradient Boosting, is a powerful and widely-used machine learning algorithm that has proven to be effective in a…Dec 27, 2022Dec 27, 2022