Predicting Graduate Admissions with Artificial Neural Networks
Akshay TekamIn 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.…
Handwritten Digit Classification with Artificial Neural Networks Using the MNIST Dataset
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…
Predicting Customer Churn with Artificial Neural Networks (ANN)
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…
Understanding the Different Types of Neural Networks In Deep Learning
Neural networks are at the heart of many modern technologies, from voice assistants to image recognition systems. But did you know that not all neural networks are created equal? In…
Hyperparameter Tuning Random Forest Using Grid Search CV and Randomized Search CV
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…
Handwritten Digit Classification Using Decision Tree and Random Forest
This handwritten digit classification mini project makes use of machine learning algorithms like Decision Tree or Random forest to create a model on MNIST dataset. We are using Flask to…
Stock Sentiment Analysis using News Headlines Machine Learning Mini Project
In this Stock Sentiment Analysis mini project, we are gonna create a simple machine learning model to analyze stocks sentiment which makes use of news headlines. By doing this we…
All Essential Metrics of Scikit-learn Used In Machine Learning
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…
Titanic Survival Prediction Using Machine Learning: Step-By-Step Project
This is an ultimate guide to machine learning project for beginners based on Titanic Survival Prediction. In this project we will go through all essential and basic flow of any…
Pickling and Unpickling in Data Analysis Using Python
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…