Decision Tree in Machine Learning
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It has a tough exterior. Despite its limitations and drawbacks, decision trees are still effective at splitting data and creating predictive models.You can learn more about ML by joining Machine Learning Coaching In Bangalore by Tutort Academy.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Make a Field Mandatory in Odoo 17
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
DRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
Hindi varnamala | hindi alphabet PPT.pdf
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar KanvariaAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Community pharmacy- Social and preventive pharmacy UNIT 5
Covered community pharmacy topic of the subject Social and preventive pharmacy for Diploma and Bachelor of pharmacy
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
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Decision Tree in Machine Learning
- 1. DECISION TREE IN MACHINE LEARNING
- 2. DECISION TREE IN MACHINE LEARNING • Predictive models are at the heart of many aspects of the data science world. A good model is directly dependent on the algorithm that a data scientist chooses. However, because there are so many algorithms, data scientists frequently struggle to choose the best one. The decision tree algorithm is critical in making an informed decision. This article will discuss the benefits and drawbacks of the decision tree algorithm in machine learning.
- 3. ADVANTAGES • ● Interpretability • One of the most significant Decision tree benefits is that it is highly intuitive and simple to grasp. Furthermore, the rules implemented by decision trees can be displayed in a flow chart-like format, allowing data scientists and other professionals to explain the model’s predictions to stakeholders.
- 4. ADVANTAGES ● Reduced Data Preparation • Data preparation is a significant challenge when developing a model that involves other algorithms. This is due to the fact that any model operates on the ‘garbage in, garbage out principle, which states that the quality of predictions made by the model is dependent on the quality of data fed to the model to train on, and this is where decision trees excel.
- 5. ADVANTAGES ● Non-Parametric Algorithms such as linear regression, naive Bayes, and others require a number of assumptions to be met in order for the model to function properly. As previously stated, Decision Trees is a non-parametric algorithm, so no significant assumptions or data distribution must be considered.
- 6. ADVANTAGES ● Non-Linearity Decision Trees can define complex decision boundaries, allowing them to solve non-linear problems with ease.
- 7. DISADVANTAGES ● Overfitting • One of the most common and obvious drawbacks of decision trees is that it is a high-variance algorithm. This means that it can easily overfit because it lacks an inherent stopping mechanism, resulting in complex decision rules. ● Data Resampling and Feature Reduction • A decision tree’s training phase can be extremely time-consuming, and this problem can be exacerbated if there are multiple continuous independent variables.
- 8. DISADVANTAGES ● Optimization The decision tree algorithm looks for the pure node at each level and does not consider how the most recent decision will affect the next few stages of splitting. This is why it is referred to as a greedy algorithm.
- 9. ENDNOTES The decision tree algorithm is one of the most widely used predictive modeling algorithms. It has a tough exterior. Despite its limitations and drawbacks, decision trees are still effective at splitting data and creating predictive models. • You can learn more about ML by joining Machine Learning Coaching In Bangalore by Tutort Academy. •
- 10. THANK YOU FOR VISIT For More Information Visit Our Website tutort.net