Statistical analysis provides essential techniques for understanding, interpreting, and making decisions based on data. It involves showing numerical statistics and some visualization data analysis. In this article, we'll delve into…
This tutorial focuses on developing a system designed to identify images of cats and dogs using CNN. It involves analyzing various images containing cats and dogs to predict which animal…
In this article, we'll take a look at L2 Regularization in Artificial Neural Networks (ANN) with code using tensorflow library. Using this regularization technique, we can resolve the issues like…
In this article, we'll look at Graduate Admissions problem and try to solve it with Artificial Neural Networks. As this is a regression problem, we'll mostly deal with numerical data.…
This handwritten digit classification task makes use of neural networks (ANN) to create a model on MNIST dataset to recognize digits from 0 to 9. In this article we'll make…
In this article, we'll explore how ANN can be used to forecast customer churn of a bank for credit card in a simple and understandable way. We we'll also see…
Hyperparameter tuning is a critical step in optimizing machine learning models for better performance. In this article, we'll explore hyperparameter tuning techniques, specifically GridSearchCV and RandomizedSearchCV, applied to the Random…
Scikit-learn (sklearn) is a popular machine learning library in Python that provides a wide range of tools for building and evaluating machine learning models. Sklearn includes several metrics for evaluating…
In python, Pickling and Unpickling are processes used for serializing and deserializing the objects, respectively. These processes are commonly used in data analysis and machine learning tasks to save and…
Creating a comprehensive Python cheat sheet is a bit extensive, but I can provide you with a condensed version covering various aspects of Python. https://www.youtube.com/watch?v=zh2EZbzTQ1Y Refer my YouTube video Overview…
Akshay Tekam