-
Speech Emotions Recognition with Convolutional Neural Networks
In this article, we are going to explain a project on how to perform speech emotions recognition using convolutional neural network.
K HITHEESH 14 Jul, 2021
-
Python on Frontend: ML Models Web Interface With Brython
Let's Build a ML web interface using Brython that takes in values from users, makes an API request to the model deployed, and make prediction
Kaustubh Gupta 14 Jul, 2021
-
Titanic Survival Prediction Using Machine Learning
In this article we will develop a logistic regression model for Titanic survival prediction. We will also analyze the given Titanic dataset.
Pinak 21 Oct, 2024
-
Customer Segmentation Using RFM Analysis
RFM Analysis is a marketing framework that is used to understand the customer behaviour. Here we will perform customer segmentation using RFM
Surendra 19 Apr, 2023
-
Performing Sentiment Analysis With Naive Bayes Classifier!
Naive Bayes is the simplest and fastest classification algorithm for large data. Here, we will perform sentiment analysis using Naive Bayes.
Hardikkumar 21 Oct, 2024
-
Introduction To Audio Classification -Emergency vs Nonemergency Vehicle
Audio or sound classification is the process to listen, analyze and classify audio recordings. we will classify vehicles based on audio data
Neha 12 Jul, 2021
-
AutoML using Pycaret with a Regression Use-Case II
In this article, we will be working with a Regression problem, and you will see how easy it becomes to code using Pycaret with AutoML.
Sion 12 Jul, 2021
-
Classification of Handwritten Digits Using CNN
In this blog, we will understand how to create and train a simple CNN for classification of handwritten digits from a popular dataset.
Swati 12 Jul, 2021
-
Understanding Face Recognition Using LBPH Algorithm
LBPH is a Face-Recognition algorithm. It is known for its performance and ability to recognize the face of a person from both front and side.
Parth Singh 21 Oct, 2024
-
Polynomial Regression for Beginners
Learn polynomial regression from basic to advanced techniques. Easily identify trend, make predictions, and develop models for large datasets,
Raghav Agrawal 04 Apr, 2025
