This article introduces basic softmax regression and its implementation in Python using TensorFlow to the learner. While implementing softmax regression in...
A Beginners Guide to SoftMax Regression Using TensorFlow
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Topic: Machine Learning
Multivariate Time Series using Auto ARIMA
A time series is a collection of continuous data points recorded over time. It has equal intervals such as hourly, daily, weekly, minutes, monthly, and...
Creating a Hand Tracking Module using Python, OpenCv, and MediaPipe
Hand tracking is the process in which a computer uses computer vision to detect a hand from an input image and keeps focus on the hand’s movement and...
Hyperparameter Tuning in Decision Trees and Random Forests
After years of hard work, we have reached a stage where we use computers to analyze millions of data points and provide insights that even the human eye could...
Getting Started with Support Vector Regression in Python
Support Vector Regression (SVR) is a regression function that is generalized by Support Vector Machines - a machine learning model used for data...
How to Implement K fold Cross-Validation in Scikit-Learn
The most typical strategy in machine learning is to divide a data set into training and validation sets. 70:30 or 80:20 could be the split ratio. It is the...
License Plate Detection And Recognition Using OpenCv And Pytesseract
License plate detection is identifying the part of the car that is predicted to be the number plate. Recognition is identifying the values that make up the...
A 3D Object Detection Solution for Everyday Objects
This tutorial will perform 3D object detection using the mediapipe library and python. We will be drawing a 3D bounding box around an object instead of the...
Acelerating Automation with Hyperautomation
Every organization strives to make its operations faster and more efficient. One way to achieve this is through automation. Automation has helped many...