ProjectPro

DECEMBER 17, 2021

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b. Text Sequencing c.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 23, 2021

Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Food Panda, a food delivery app, is another famous example that implements this. It includes built-in algorithms that do not need label data.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

AltexSoft

JUNE 21, 2023

ADR solely focuses on revenue from room sales, excluding other sources of income such as food and beverage, spa services, or event spaces, which can also significantly contribute to a hotel’s overall revenue. The initial algorithm was designed to predict ADRs across competitor hotels, furnishing a comparative market perspective.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

ProjectPro

AUGUST 16, 2021

Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

JULY 15, 2021

You shall also use digital signatures and data encryption algorithms, such as Advanced Encryption Standard (AES), in the system. Also, food delivery apps, such as Zomato, have implemented chatbots to provide instant customer questions. Diffie-Hellman key exchange is a suitable algorithm to carry out encryption and decryption.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

MAY 23, 2015

The predictive analytics platform of Inkiru incorporates machine learning technologies to automatically enhance the accuracy of algorithms and can integrate with diverse external and internal data sources. Inkiru's predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

APRIL 27, 2015

These big data solutions would help in recording the unstructured data generated from the video streams for executing pattern matching algorithms-to find out any happenings depending on various pre-defined set of parameters.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

JANUARY 22, 2016

Food industry is adopting big data technology and big data analytics to stay competitive by understanding customer preferences and tastes. People have pretty high expectations for food especially when they are ordering it from a restaurant.

Food 40

Food Big Data Data Analytics Data Analysis 40

Knowledge Hut

APRIL 20, 2023

In this article, we have emphasized the importance of working on web development projects, an excellent way of learning Web Development while enhancing your portfolio as a web developer. You can add these projects to your portfolio while applying for jobs, proving your practical experience, technical skills, and creativity.

Coding 52

Coding Project Portfolio Programming Language 52

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59