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Project management is a complex and broad field with foreseeable challenges. This can make it difficult to understand and find consistency in the process. New project management managers often create the misconception that they have a problem not understanding the process groups that are mentioned below when they just need to review them more closely. This is why the Project Management Body of Knowledge (PMBOK) comes into the picture. Let’s get to know more about it. The process groups of PMBOK The Project Management Institute (PMI) developed the PMBOK, a set of guidelines and principles for managing projects. It contains ... Read More
Project managers are in charge of the projects and make important decisions about how andwhen to work. However, project management is a broad field with endless routes. There are many different types of project management, such as Six Sigma or lean project management.With so many paths, knowing which path is best for you can take time and effort. What is a Project Management Office? A Project Management Office (PMO) is a specialized business unit within an organization that is responsible for the effective and efficient management of projects. A PMO should delineate its authority, processes, resources, and goals. How to ... Read More
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
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
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
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
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
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
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
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