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50 ML Projects To Strengthen Your Portfolio and Get You Hired

ProjectPro

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

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Role of Artificial Intelligence and Machine Learning in Supply Chain Management 

U-Next

Machine Learning is the science of getting computers to act without being explicitly programmed. Algorithms are used to make predictions about future data, such as what movie you might like or what price you should pay for your next car. . Machine Learning algorithms are often used for classification and prediction problems.

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Understand Machine Learning Even More It is one thing to know about Machine Learning algorithms and how to call their functions. This is where Data Science comes into the picture.

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10 Unique Business Intelligence Projects with Source Code 2023

ProjectPro

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

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Career Options after BCom You Should Know in 2023

Knowledge Hut

One needs to be aware of their areas of interest because commerce is a broad sector that encompasses taxation, finance, accounting, banking, insurance, wealth creation, auditing, management, etc. After finishing this course, candidates may work for audit firms in tax-related problems, banks, financial institutions, or insurance companies.

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15 Projects on Machine Learning Applications in Finance

ProjectPro

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Our data is imbalanced.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

AltexSoft

Recommender systems use machine learning algorithms to make real-time personalized offers that meet the needs of a particular traveler. For example, in aviation, predictive maintenance reduces the need to pull the aircraft out of service, helps optimize repair schedules, prevents unexpected faults, and insures against flight delays.