ProjectPro

JUNE 6, 2025

In data science, algorithms are usually designed to detect and follow trends found in the given data. Artificial neural network (ANNs) is probably the most popular algorithm to implement unsupervised anomaly detection. However, these unsupervised algorithms may learn incorrect patterns or overfit a particular trend in the data.

Machine Learning 60

Machine Learning Python Algorithm Datasets 60

ProjectPro

JUNE 6, 2025

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. The dataset has as many as 31 columns for you to explore.

Data Mining 52

Data Mining Coding Project Datasets 52

ProjectPro

JUNE 6, 2025

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. To build such ML projects, you must know different approaches to cleaning raw data. It contains all the attributes you need to build your stock price prediction system. Source: Moneyexcel 4.

Machine Learning 69

Machine Learning Project Datasets Algorithm 69

ProjectPro

JUNE 6, 2025

Moreover, with predictive analytics and machine learning algorithms, companies can adjust their demand forecasts based on real-time data, ensuring they remain agile and responsive to changing market conditions. Example: Optimizing the supply chain for a food delivery company by predicting demand and optimizing the delivery routes.

Data Science 65

Data Science Transportation Consulting Food 65

ProjectPro

JUNE 6, 2025

Is it difficult to build deep learning models? Why build deep learning projects? Finally, this article will take you through 20+ cool deep learning projects you can build as a beginner in the industry. Is it difficult to build deep learning models? Why build deep learning projects?

Deep Learning 59

Deep Learning Coding Project Portfolio 59

ProjectPro

JUNE 6, 2025

Enterprises are using unique predictive models and algorithms that support predictive analytics tools. Predictive Modelling Examples How to Build a Predictive Model? How to Build a Predictive Model? Table of Contents Predictive Modeling Techniques - A Gentle Introduction What is Predictive Modelling?

Data Mining 45

Data Mining Banking Retail Healthcare 45

Snowflake

OCTOBER 17, 2024

Build cost-effective, scalable and flexible ML models in Snowflake Many enterprises are already using Container Runtime to cost-effectively build advanced ML use cases with the easy access to GPUs. CHG builds and productionizes its end-to-end ML models in Snowflake ML. With over $5.5 See this quickstart to learn more.

Food 111

Food Medical Healthcare Electronics 111

Team Data Science

FEBRUARY 23, 2021

Going further, when a restaurant creates a digital channel for its customers to order food online, it is not only digitizing information. It was mainly a "product first, customers second" mentality of building products and services. This is digitalization in the making [ , 7 ]. 22 , , 23 , , 24 , , 25 ].

Food 130

Food Business Intelligence Unstructured Data Relational Database 130

ProjectPro

JUNE 6, 2025

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. And to decide which individual or firm should be allowed to lend money or not, banks use credit scoring algorithms.

Data Science 40

Data Science Medical Machine Learning Retail 40

ProjectPro

JUNE 6, 2025

Making a chatbot might sound super high-tech, but with LangChain, it's like playing with building blocks. LangChain makes it really easy to build your chatbot. So, with LangChain, creating your own chatty friend is like playing with Legos—you can build it just the way you want!

Portfolio 40

Portfolio Project Food Python 40

ProjectPro

JUNE 6, 2025

But, can machine learning algorithms help with that? By analyzing data at scale, machine learning algorithms can identify patterns and relationships that are invisible to the human eye, allowing businesses to make informed pricing decisions that drive revenue growth and maximize profits. Yes, O’ Yes.

Machine Learning 40

Machine Learning Project Insurance Food 40

ProjectPro

JUNE 6, 2025

AI technology in agriculture is completely changing food production, making farming more innovative, efficient, and sustainable. In this blog, we’ll explore 7 AI projects in agriculture that are helping to increase yields, reduce waste, and build a more resilient smart farming system. Show visual stress maps using Leaflet.js

Project 40

Project Building Google Cloud AWS 40

Christophe Blefari

FEBRUARY 16, 2024

ByteDance boximator, create motion on images — Boximator is a friendly method to instruct generative algorithms with boxes. This is crazy how Google feels outdated when you look at smaller AI companies in term of hype or magic they are able to build. ByteDance is the company behinds TikTok. More details on Twitter.

Food 130

Food Data SQL Government 130

DoorDash Engineering

FEBRUARY 15, 2023

Building an ML-powered delivery platform like DoorDash is a complex undertaking. Once we identify an opportunity, we usually start small by testing the ML hypothesis using a heuristic before deciding to invest into building out the ML models. If the initial heuristic works, we build out and replace the heuristic with the ML models.

Food 73

Food Machine Learning Architecture Building 73

Snowflake

MARCH 20, 2024

Infrastructure = data Products = algorithms If data is the infrastructure in our equation and algorithms the product, what then is the X factor? This algorithmic thinking, at scale and across society, will launch a revolution. To understand how these gen AI models work, we need to understand how a generative algorithm works.

Government 105

Government Banking Algorithm Telecommunication 105

Netflix Tech

SEPTEMBER 18, 2020

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. Outside of work, we share a love of good food and coffee, exchanging tips on making espresso. Chris] There’s a lot of things to consider when we roll out a new compression algorithm.

Data Science 94

Data Science Consulting Food Algorithm 94

ProjectPro

JUNE 6, 2025

When working on Data Science projects, one often finds it difficult to build models from scratch that can solve a particular real-world problem. Google's spam detection algorithm is an example of using inductive transfer learning to achieve better classification results.

Deep Learning 40

Deep Learning Project Food Datasets 40

ProjectPro

JUNE 6, 2025

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. These days, insurers can examine the client's food habits and lifestyle preferences. Learn MLOps with ProjectPro's Project-Based MLOps Online Course !

Insurance 45

Insurance Machine Learning Project Algorithm 45

Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. Who uses Apache Spark Listing a few use cases of Apache spark below : 1.

Scala 98

Scala Hadoop Healthcare Big Data 98

ProjectPro

JUNE 6, 2025

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. Usually, food order dropouts occur due to the shortage of drivers and the corresponding surge prices.

Portfolio 40

Portfolio Project Insurance Banking 40

Knowledge Hut

NOVEMBER 27, 2023

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. Scikit-Learn is one of the most important Python libraries for building Machine Learning models.

Data Science 97

Data Science Healthcare Telecommunication Machine Learning 97

ProjectPro

JUNE 6, 2025

Besides these, it is essential to remember that cloud computing is a bonus skill as you can use your existing skills to build projects like Java cloud computing projects, Android cloud computing projects, cloud computing projects in PHP, or any other popular programming language. Use AWS Glue for data analysis and repair techniques.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

LinkedIn Engineering

FEBRUARY 27, 2023

Building connections in Dublin Having joined mid-pandemic, LinkedIn made sure I could connect with my team even if we couldn’t meet in person. The LinkedIn team in Dublin has also been a part of one of my favorite memories: our year-end Christmas party with tons of food, music, and arcade games.

Food 60

Food Recruitment Electronics Machine Learning 60

Data Engineering Weekly

FEBRUARY 5, 2023

The ML for large-scale production systems highlights the improvement made from the existing heuristic in the YouTube cache replacement algorithm with a new hybrid algorithm that combines a simple heuristic with a learned model, improving the byte miss ratio at the peak by ~9%.

Data Engineering 57

Data Engineering Data Engineer Engineering Food 57

U-Next

MARCH 12, 2023

Introduction The massive amounts of big data, the pace and scalability of cloud computing platforms, and the evolution of advanced machine learning algorithms have resulted in AI advances. Careful planning is required to build AI systems that perform reliably and consistently with their owners’ objectives.

Government 75

Government Food Education Algorithm 75

Data Engineering Weekly

AUGUST 13, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Save-the-date Just Eat: Building a Listwise Ranking TF recommender - A step-by-step guide.

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

Pinterest Engineering

MAY 25, 2023

skin tone ranges in beauty, cuisine type in food), business-specific dimensions (e.g., Triggering logic : A real-world system may receive requests that span a wide range of categories, such as fashion, beauty, home decor, food, travel, etc. Then, we re-build a ranked list by greedily selecting the top item of each sub-list.

Food 98

Food Utilities Machine Learning Algorithm 98

Netflix Tech

DECEMBER 13, 2018

We select the freshest and best encoding technologies so that you can savor our content, from the satiating cinematography of Salt Fat Acid Heat to the gorgeous food shots of Chef’s Table. DO, as originally presented, is a non-real-time, computationally expensive algorithm. or reflect the kind of content for the application at hand.

Coding 83

Coding Media Algorithm Food 83

ProjectPro

NOVEMBER 18, 2021

The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps, infrastructure, and security. Walmart has been leveraging Big data and advances in data science to build solutions to enhance, optimize and customize the shopping experience and serve their customers in a better way.

Data Science 52

Data Science Project Food Pharmaceutical 52

Monte Carlo

JANUARY 12, 2023

For Freshly, food isn’t the only thing that needs to be delivered fresh and fast; our data also needs to be reliable, timely, and most importantly, accurate. The first team is responsible for building the backend data infrastructure. We built the rest of our data platform around this core building block.

Architecture 52

Architecture Building Data Warehouse BI 52

Data Engineering Weekly

DECEMBER 18, 2023

The article discusses the design of PEDAL (Privacy Enhanced Data Analytics Layer), a mid-tier service between applications and backend services like Pinot, to implement differential privacy, including differentially private algorithms, a metadata store, and a privacy loss tracker. RudderStack just launched Trino as a Reverse ETL source.

Data Engineering 67

Data Engineering Data Engineer Engineering Food 67

DoorDash Engineering

JANUARY 4, 2023

In order to inspire DoorDash consumers to order from the platform there are few tools more powerful than a compelling image, which raises the questions: what is the best image to show each customer, and how can we build a model to determine that programmatically using each merchant’s available images?

Machine Learning 52

Machine Learning Food Algorithm Building 52

Cloudera

MARCH 28, 2023

By analyzing a patient’s genomic makeup using machine learning (ML) algorithms, healthcare providers can identify specific mutations or genetic markers that may indicate a particular treatment will be more effective than others. We’ll be presenting a Lunch and Learn at the event and food will be provided. Indiana Ave.

Healthcare 66

Healthcare Food Electronics Machine Learning 66

ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. These days, insurers can examine the client's food habits and lifestyle preferences.

Insurance 75

Insurance Machine Learning Project Algorithm 75

ProjectPro

SEPTEMBER 27, 2021

And, what could be a better project idea than building your own customised painting application to learn OpenCV. OpenCV Project Idea # Objects Counter Building an object detection based application might sound like a tedious task when exploring OpenCV project ideas, but it is pretty easy if you choose to implement it in Python.

Project 52

Project Deep Learning Food Algorithm 52

Knowledge Hut

OCTOBER 27, 2023

On an unclean and disorganised dataset, it is impossible to build an effective and solid model. Make sure your projects cover all the fundamentals of machine learning, such as regression, classification algorithms, and clustering. Swiggy & Zomato, the top food delivering apps are using chatbots to speed up the delivery process.

Data Science 96

Data Science Coding Project Datasets 96

Monte Carlo

AUGUST 31, 2023

The machine learning algorithm that determines how much weight or significance to assign to each feature is often romanticized as the secret sauce, but feature selection, engineering, and quality control is often just as, if not more, important to a successful deployment. This precludes more advanced algorithmic functionality.

SQL 64

SQL Machine Learning Data Science Algorithm 64