ProjectPro

FEBRUARY 1, 2016

Manthan has recently revamped their long standing customer analytics tool Customer360. This tool has a wide array of descriptive, predictive and prescriptive analytical capabilities and its algorithms are optimized for Apache Spark which give marketers a much needed fast data analysis tool. January 11, 2016.

Hadoop 52

Hadoop BI Big Data Data Analysis Tools 52

ProjectPro

JANUARY 24, 2023

They were able to use SageMaker's pre-built algorithms and libraries to quickly and easily train their ML models and then deploy them to the edge (i.e., SageMaker also supports building customized algorithms and frameworks and allows for flexible distributed training options.

Building 52

Building Algorithm Machine Learning AWS 52

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. Customer data is collected using machine learning algorithms to identify patterns and insights.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

MAY 31, 2023

Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Students can use Python or R for data analysis. Tools like TextBlob and NLTK for sentiment analysis.

Project 52

Project Datasets Media Programming Language 52

Knowledge Hut

JANUARY 25, 2024

In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

DECEMBER 26, 2023

With the help of the company's "augmented analytics," you can ask natural-language inquiries and receive informative responses while also applying thoughtful data preparation. Some of the best features of oracle analytics cloud are augmented analytics, data discovery, and natural language processing.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

FEBRUARY 15, 2023

Learning Data Science with Python training can give access to all levels of data analyst jobs, as python is the most commonly used data science language. Tools for Data Analyst Jobs With vast amounts of data available today, data analytics is evolving. hire expert finance data analysts often.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

Knowledge Hut

NOVEMBER 20, 2023

The ChaosSearch algorithm starts with random points on the map and iteratively eliminates those points farther from the destination than any other point until only one point remains. This tool is designed to help developers and system administrators find the necessary information related to their work.

Amazon Web Services 52

Amazon Web Services Java AWS Cloud 52

ProjectPro

DECEMBER 22, 2016

Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 24, 2021

Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc. Project Idea: Azure Pureview is a data governance tool introduced by Microsoft that lets its users handle data better.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 11, 2022

Data Science is an interdisciplinary field that blends programming skills, domain knowledge, reasoning skills, mathematical and statistical skills to generate value from a large pool of data. Skill requirements for Data Science. Knowing algorithms, mathematics, statistics, and machine learning are essential.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

Knowledge Hut

JUNE 16, 2023

Python is popular for web applications, data analysis tools, and automation scripts. Version Control tools like Git come in very handy, especially when you’re collaborating. The grandest of them all - Data Structures and Algorithms - are an absolute must help write efficient and scalable programs.

Python 52

Python Project Programming Language Programming 52