Angela  Dickens

Angela Dickens

1596657960

Data Preparation Techniques and Its Importance in Machine Learning

What is Data?

Data refers to examples of cases from the domain that characterize the problem you want to solve and the choice of data is dependent on the objective you want to satisfy. Here are some commonly used websites where open-source data is available for each topic so that you can build your own Machine Learning application and contribute to global success.

Kaggle — An organised platform, where each learner will learn to spend time. You will love how futuristic these datasets are, and with the help of kernels, you can process all in the platform without even downloading the data.

UCI Machine Learning Repository — It maintains a huge amount of diversified datasets as a service to the machine learning community

Data.gov — You can download data from multiple Indian government ministries. Data can range from government budgets to school performance scores.

CMU Libraries — High-quality dataset from various domains an initiative by Carnegie Mellon University

Google Dataset Search — This dataset search lets you find datasets wherever they’re hosted, whether it’s a publisher’s site, a digital library, or an author’s web page.

After collecting the data, the first task is to transform the data to meet the requirements of individual machine learning algorithms. The most challenging part of each machine learning project is how to prepare the one thing that is unique to the project i.e. The data used for modelling.

Data preparation is the transformation of raw data into the form that is more suitable for modelling because “the quality of data is more important than using complicated algorithms”. And to transform the raw data into more informative and self-explanatory you need to perform the same type of data preparation task for any modelling problem.

In this article, we will walk you through how to apply Data Preparation techniques using the Car Price Prediction Dataset as an example

Data Preparation tasks are :

  • Data Cleaning
  • Feature Engineering
  • Data Transformation
  • Feature Extraction

datasciencewhoopees/eda_carprice_prediction

Exploratory Data Analysis, Data Preparation, Data Cleaning on Caprice Prediction Dataset …

github.com


Data Cleaning :

This is one of the hardest steps, as most of the real-world data may have incorrect values in the form of misleading observation, wrong entry of data or rows may store incorrect values and many more but to clean data in order to create reliable dataset you need to have domain expertise which helps you to identify and observe abnormalities within attributes.

#data-pre-processing #data-preparation #data-science #data-modeling #machine-learning #data analysis

What is GEEK

Buddha Community

Data Preparation Techniques and Its Importance in Machine Learning
Angela  Dickens

Angela Dickens

1596657960

Data Preparation Techniques and Its Importance in Machine Learning

What is Data?

Data refers to examples of cases from the domain that characterize the problem you want to solve and the choice of data is dependent on the objective you want to satisfy. Here are some commonly used websites where open-source data is available for each topic so that you can build your own Machine Learning application and contribute to global success.

Kaggle — An organised platform, where each learner will learn to spend time. You will love how futuristic these datasets are, and with the help of kernels, you can process all in the platform without even downloading the data.

UCI Machine Learning Repository — It maintains a huge amount of diversified datasets as a service to the machine learning community

Data.gov — You can download data from multiple Indian government ministries. Data can range from government budgets to school performance scores.

CMU Libraries — High-quality dataset from various domains an initiative by Carnegie Mellon University

Google Dataset Search — This dataset search lets you find datasets wherever they’re hosted, whether it’s a publisher’s site, a digital library, or an author’s web page.

After collecting the data, the first task is to transform the data to meet the requirements of individual machine learning algorithms. The most challenging part of each machine learning project is how to prepare the one thing that is unique to the project i.e. The data used for modelling.

Data preparation is the transformation of raw data into the form that is more suitable for modelling because “the quality of data is more important than using complicated algorithms”. And to transform the raw data into more informative and self-explanatory you need to perform the same type of data preparation task for any modelling problem.

In this article, we will walk you through how to apply Data Preparation techniques using the Car Price Prediction Dataset as an example

Data Preparation tasks are :

  • Data Cleaning
  • Feature Engineering
  • Data Transformation
  • Feature Extraction

datasciencewhoopees/eda_carprice_prediction

Exploratory Data Analysis, Data Preparation, Data Cleaning on Caprice Prediction Dataset …

github.com


Data Cleaning :

This is one of the hardest steps, as most of the real-world data may have incorrect values in the form of misleading observation, wrong entry of data or rows may store incorrect values and many more but to clean data in order to create reliable dataset you need to have domain expertise which helps you to identify and observe abnormalities within attributes.

#data-pre-processing #data-preparation #data-science #data-modeling #machine-learning #data analysis

sophia tondon

sophia tondon

1620898103

5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

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Visit Blog- https://www.xplace.com/article/8743

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Nora Joy

1604154094

Hire Machine Learning Developers in India

Hire machine learning developers in India ,DxMinds Technologies is the best product engineering company in India making innovative solutions using Machine learning and deep learning. We are among the best to hire machine learning experts in India work in different industry domains like Healthcare retail, banking and finance ,oil and gas, ecommerce, telecommunication ,FMCG, fashion etc.
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Services**
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Maintenance / Support / Sustenance
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Hire machine learning developers in India ,DxMinds Technologies is the best product engineering company in India making innovative solutions using Machine learning and deep learning. We are among the best to hire machine learning experts in India work in different industry domains like Healthcare retail, banking and finance ,oil and gas, ecommerce, telecommunication ,FMCG, fashion etc.

Services

Product Engineering & Development

Re-engineering

Maintenance / Support / Sustenance

Integration / Data Management

QA & Automation

Reach us 917483546629

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Nora Joy

1607006620

Applications of machine learning in different industry domains

Machine learning applications are a staple of modern business in this digital age as they allow them to perform tasks on a scale and scope previously impossible to accomplish.Businesses from different domains realize the importance of incorporating machine learning in business processes.Today this trending technology transforming almost every single industry ,business from different industry domains hire dedicated machine learning developers for skyrocket the business growth.Following are the applications of machine learning in different industry domains.

Transportation industry

Machine learning is one of the technologies that have already begun their promising marks in the transportation industry.Autonomous Vehicles,Smartphone Apps,Traffic Management Solutions,Law Enforcement,Passenger Transportation etc are the applications of AI and ML in the transportation industry.Following challenges in the transportation industry can be solved by machine learning and Artificial Intelligence.

  • ML and AI can offer high security in the transportation industry.
  • It offers high reliability of their services or vehicles.
  • The adoption of this technology in the transportation industry can increase the efficiency of the service.
  • In the transportation industry ML helps scientists and engineers come up with far more environmentally sustainable methods for powering and operating vehicles and machinery for travel and transport.

Healthcare industry

Technology-enabled smart healthcare is the latest trend in the healthcare industry. Different areas of healthcare, such as patient care, medical records, billing, alternative models of staffing, IP capitalization, smart healthcare, and administrative and supply cost reduction. Hire dedicated machine learning developers for any of the following applications.

  • Identifying Diseases and Diagnosis
  • Drug Discovery and Manufacturing
  • Medical Imaging Diagnosis
  • Personalized Medicine
  • Machine Learning-based Behavioral Modification
  • Smart Health Records
  • Clinical Trial and Research
  • Better Radiotherapy
  • Crowdsourced Data Collection
  • Outbreak Prediction

**
Finance industry**

In financial industries organizations like banks, fintech, regulators and insurance are Adopting machine learning to improve their facilities.Following are the use cases of machine learning in finance.

  • Fraud prevention
  • Risk management
  • Investment predictions
  • Customer service
  • Digital assistants
  • Marketing
  • Network security
  • Loan underwriting
  • Algorithmic trading
  • Process automation
  • Document interpretation
  • Content creation
  • Trade settlements
  • Money-laundering prevention
  • Custom machine learning solutions

Education industry

Education industry is one of the industries which is investing in machine learning as it offers more efficient and easierlearning.AdaptiveLearning,IncreasingEfficiency,Learning Analytics,Predictive Analytics,Personalized Learning,Evaluating Assessments etc are the applications of machine learning in the education industry.

Outsource your machine learning solution to India,India is the best outsourcing destination offering best in class high performing tasks at an affordable price.Business** hire dedicated machine learning developers in India for making your machine learning app idea into reality.
**
Future of machine learning

Continuous technological advances are bound to hit the field of machine learning, which will shape the future of machine learning as an intensively evolving language.

  • Improved Unsupervised Algorithms
  • Increased Adoption of Quantum Computing
  • Enhanced Personalization
  • Improved Cognitive Services
  • Rise of Robots

**Conclusion
**
Today most of the business from different industries are hire machine learning developers in India and achieve their business goals. This technology may have multiple applications, and, interestingly, it hasn’t even started yet but having taken such a massive leap, it also opens up so many possibilities in the existing business models in such a short period of time. There is no question that the increase of machine learning also brings the demand for mobile apps, so most companies and agencies employ Android developers and hire iOS developers to incorporate machine learning features into them.

#hire machine learning developers in india #hire dedicated machine learning developers in india #hire machine learning programmers in india #hire machine learning programmers #hire dedicated machine learning developers #hire machine learning developers

Nora Joy

1607006620

Hire Machine Learning Developer | Hire ML Experts in India

Machine learning applications are a staple of modern business in this digital age as they allow them to perform tasks on a scale and scope previously impossible to accomplish.Businesses from different domains realize the importance of incorporating machine learning in business processes.Today this trending technology transforming almost every single industry ,business from different industry domains hire dedicated machine learning developers for skyrocket the business growth.Following are the applications of machine learning in different industry domains.

Transportation industry

Machine learning is one of the technologies that have already begun their promising marks in the transportation industry.Autonomous Vehicles,Smartphone Apps,Traffic Management Solutions,Law Enforcement,Passenger Transportation etc are the applications of AI and ML in the transportation industry.Following challenges in the transportation industry can be solved by machine learning and Artificial Intelligence.

  • ML and AI can offer high security in the transportation industry.
  • It offers high reliability of their services or vehicles.
  • The adoption of this technology in the transportation industry can increase the efficiency of the service.
  • In the transportation industry ML helps scientists and engineers come up with far more environmentally sustainable methods for powering and operating vehicles and machinery for travel and transport.

Healthcare industry

Technology-enabled smart healthcare is the latest trend in the healthcare industry. Different areas of healthcare, such as patient care, medical records, billing, alternative models of staffing, IP capitalization, smart healthcare, and administrative and supply cost reduction. Hire dedicated machine learning developers for any of the following applications.

  • Identifying Diseases and Diagnosis
  • Drug Discovery and Manufacturing
  • Medical Imaging Diagnosis
  • Personalized Medicine
  • Machine Learning-based Behavioral Modification
  • Smart Health Records
  • Clinical Trial and Research
  • Better Radiotherapy
  • Crowdsourced Data Collection
  • Outbreak Prediction

**
Finance industry**

In financial industries organizations like banks, fintech, regulators and insurance are Adopting machine learning to improve their facilities.Following are the use cases of machine learning in finance.

  • Fraud prevention
  • Risk management
  • Investment predictions
  • Customer service
  • Digital assistants
  • Marketing
  • Network security
  • Loan underwriting
  • Algorithmic trading
  • Process automation
  • Document interpretation
  • Content creation
  • Trade settlements
  • Money-laundering prevention
  • Custom machine learning solutions

Education industry

Education industry is one of the industries which is investing in machine learning as it offers more efficient and easierlearning.AdaptiveLearning,IncreasingEfficiency,Learning Analytics,Predictive Analytics,Personalized Learning,Evaluating Assessments etc are the applications of machine learning in the education industry.

Outsource your machine learning solution to India,India is the best outsourcing destination offering best in class high performing tasks at an affordable price.Business** hire dedicated machine learning developers in India for making your machine learning app idea into reality.
**
Future of machine learning

Continuous technological advances are bound to hit the field of machine learning, which will shape the future of machine learning as an intensively evolving language.

  • Improved Unsupervised Algorithms
  • Increased Adoption of Quantum Computing
  • Enhanced Personalization
  • Improved Cognitive Services
  • Rise of Robots

**Conclusion
**
Today most of the business from different industries are hire machine learning developers in India and achieve their business goals. This technology may have multiple applications, and, interestingly, it hasn’t even started yet but having taken such a massive leap, it also opens up so many possibilities in the existing business models in such a short period of time. There is no question that the increase of machine learning also brings the demand for mobile apps, so most companies and agencies employ Android developers and hire iOS developers to incorporate machine learning features into them.

#hire machine learning developers in india #hire dedicated machine learning developers in india #hire machine learning programmers in india #hire machine learning programmers #hire dedicated machine learning developers #hire machine learning developers