Python ñ Facial and hand recognition using MediaPipe Holistic

Jay Singh
Updated on 01-Dec-2022 05:35:43
MediaPipe is a cross-platform open-source Machine Learning framework for creating complicated and multimodal applied machine learning pipelines. It can be used to create cutting-edge Machine Learning Models such as face identification, multi-hand tracking, object detection and tracking, and many more applications. MediaPipe simply functions as a middleman for managing model implementation for systems operating on any platform, allowing the developer to focus on experimenting with models rather than the system. This article will go over how to estimate full-body poses using MediaPipe holistic. The model will recognize all of our body's facial landmarks, hands, and positions. Installing and importing libraries ... Read More

Predicting Stock Price Direction using Support Vector Machines

Jay Singh
Updated on 01-Dec-2022 05:34:17
In this article we are going to learn how to predict stock price direction using Support Vector Machines. Machine Learning is an Artificial Intelligence application that is improving the way the world functions in every discipline. At its essence, it is an algorithm or model that identifies patterns in a specific data collection and then predicts the learned patterns on generic data. In layman's words, it's the concept that robots learn a pattern and adjust through experience to make correct and repeatable conclusions. In this post, we will look into Predicting Stock Price Direction Using Support Vector Machines. Let’s begin. ... Read More

PEAS Descriptors of Task Environment

Jay Singh
Updated on 01-Dec-2022 05:32:49
Artificial intelligence (AI) is the capacity of a machine created artificially to think and act logically or human-like. The study of the rational agent and its surroundings can be used to define an AI system. Agents use sensors to perceive their surroundings and actuators to take action on it. Knowledge, belief, purpose, and other mental attributes can exist in an AI agent. AI agents are directly related to PEAS. In this piece, we'll take a closer look at PEAS and some of its examples. What are PEAS Descriptors? PEAS is an AI agent representation system that focuses on evaluating the ... Read More

Olympics Data Analysis Using Python

Jay Singh
Updated on 01-Dec-2022 05:31:04
The contemporary Olympic Games, sometimes known as the Olympics, are major international sporting events that feature summer and winter sports contests in which thousands of participants from all over the world compete in a range of disciplines. With over 200 nations competing, the Olympic Games are regarded as the world's premier sporting event. In this article, we will examine the Olympics using Python. Let’s begin. Importing necessary libraries !pip install pandas !pip install numpy import numpy as np import pandas as pd import seaborn as sns from matplotlib import pyplot as plt Importing and understanding the dataset We have ... Read More

How to Find the Z Critical Value in Python?

Jay Singh
Updated on 01-Dec-2022 05:27:54
In this article, we are going to learn about how to find the Z Critical Value in Python. What is Z Critical Value? In statistics, the region under the common normal model is referred to as the Z critical value. Every possible variable's probability is shown. A test statistic is what is produced when we do a hypothesis test. To determine if the outcome of the hypothesis test is statistically significant, the test statistic can be compared to a Z critical value. An outcome is regarded as statistically significant when its absolute value exceeds the Z critical value. The determination ... Read More

How to Find a P-Value from a t-Score in Python?

Jay Singh
Updated on 01-Dec-2022 05:10:30
Data is a valuable asset that plays a crucial part in today's society, as everything is strongly dependent on data. Today, all technologies are data-driven, and massive volumes of data are generated on a regular basis. Data is unprocessed information that data scientists learn to exploit. A data scientist is a professional who analyses data sources, cleans and processes the data in order to understand why and how the data was created, in order to provide insights to support business choices, and hence profits for the company. To detect patterns and trends in data, data scientists employ a mix of ... Read More

How to Find the F Critical Value in Python?

Jay Singh
Updated on 01-Dec-2022 05:06:16
In this article, we are going to learn about how to find the F Critical Value in Python. What is F Critical Value? An F statistic is what you'll obtain after running an F test. Whether the results of the F test are statistically significant can be determined by comparing the F statistic to an F critical value. To put it simply, we compared our f value to the F-critical value as a standard. This post will look at a Python technique for finding the F critical value. Syntax To calculate the F critical value, use the Python function scipy.stats.f.ppf(), ... Read More

Guided Ordinal Encoding Techniques

Jay Singh
Updated on 01-Dec-2022 05:03:28
Data preparation is a necessary step before modeling in the field of data science. We must do a number of activities during the data preparation process. One such important task is encoding categorical data. As is well known, the majority of data in the real world has categorical string values, while the majority of machine learning models only operate with integer values. However, certain models can work with other values that are more complex but still intelligible to the model. In essence, all models carry out mathematical operations that can be done with a variety of tools and approaches. But ... Read More

Emergence Of Artificial Intelligence

Jay Singh
Updated on 01-Dec-2022 05:03:02
The world is always changing due to advancements in science and technology. The advancements in AI technology are expanding exponentially. People can't envision living without AI products since they have become so reliant on them. In this post, we will discuss the emergence of Artificial Intelligence. Artificial Intelligence Artificial intelligence allows machines to accomplish tasks that humans do, learn from experience, adapt to new inputs, and perform learning from experience (AI). Today's self-driving cars and chess-playing computers are only two examples of AI applications that heavily rely on deep learning and natural language processing. Using these technologies, it is possible ... Read More

What is Bellman Equation in Reinforcement Learning?

Jay Singh
Updated on 01-Dec-2022 05:02:16
Anyone who has encountered reinforcement learning (RL) knows that the Bellman Equation is an essential component of RL and appears in many forms throughout RL. By merging several RL functions, the Bellman equation aids in producing more calculated and better-bearing outcomes. In this post, we will first go over some of the fundamental terms related to reinforcement learning, then we'll get into the meat of some of the equations that are frequently used in reinforcement learning, and finally, we'll take a deep dive into the Bellman Equation. What is Reinforcement Learning? Reinforcement learning is a form of machine learning that ... Read More
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