Building a House Price Prediction ML Model Using Python: A Complete Step-by-Step Guide
In Power BI we already did Exploratory data analysis and you can find the tutorials here Quick overview of the […]
In Power BI we already did Exploratory data analysis and you can find the tutorials here Quick overview of the […]
SMS Spam Collection Dataset, which is a popular dataset used for natural language processing tasks, especially spam detection. Key details:
The Gradient Descent Algorithm is an optimization technique used in machine learning and deep learning to minimize the loss (or
Let’s walk through how to apply Machine Learning on the Appliances Energy Prediction dataset to predict Appliances (energy consumption in
Recommendation systems use algorithms and data to suggest content that users are most likely to engage with. Platforms like Netflix,
When training a machine learning model, the goal is to make accurate predictions on new, unseen data. However, sometimes a
Here, we will create a Convolutional Neural Network (CNN) model to classify car images into seven categories: Audi, Hyundai Creta,
Step 7: Deployment and Further Analysis1. Save the model using `joblib` or `pickle` for deployment. import joblib joblib.dump(model, ‘spam_classifier.pkl’) 2.
The Penguins dataset is a widely-used dataset in data science and statistics, often employed for classification, visualization, and exploratory data
This code snippet defines a Convolutional Neural Network (CNN) model using TensorFlow and Keras. It’s a simple CNN architecture typically