Knowledge Hut

NOVEMBER 16, 2023

They apply data analysis, machine learning, and statistical techniques to interpret complex data and make informed decisions. Data Pre-processing Data pre-processing is the preliminary step towards any data science application. This helps in the analysis of the data on several points and makes informed decisions.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

ProjectPro

FEBRUARY 6, 2023

The Internet is filled with information about almost everything. And this information is primarily available in the form of textual data. And one way to do that is to use Natural Language Processing (NLP) methods along with machine learning algorithms. It is one of the simplest and most commonly used stemming algorithms.

Algorithm 52

Algorithm Programming Language Python Machine Learning 52

Knowledge Hut

JANUARY 19, 2024

In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. This surge underscores the pivotal role data scientists play in guiding informed decisions, optimizing processes, and fostering innovation. That's the promise of a career in data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

MARCH 14, 2024

Their process typically begins with thorough market research to identify customer requirements and trends. Data Structures and Algorithms: Understanding data structures relevant to data intelligence is essential. In the modern software landscape, leveraging and developing algorithms is crucial for maintaining a competitive edge.

Management 52

Management Certification Education Portfolio 52

Knowledge Hut

MAY 31, 2023

As a beginner in business management, one of the most crucial skills is gathering and analyzing data to make informed decisions. It allows the company to make informed decisions to prioritize the production of specific products and scale them. For this project, students can analyze data using the Apriori algorithm.

Project 52

Project Datasets Media Python 52

ProjectPro

SEPTEMBER 6, 2021

Deep learning solutions using Python or R programming language can predict fraudulent behavior. Classification algorithms can effectively label the events as fraudulent or suspected to eliminate the chances of fraud. ML algorithms also provide recommendations on better trading, investments, saving schemes, etc.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

Knowledge Hut

FEBRUARY 12, 2023

It is not new to humans, but the modalities used for data collection and processing have become easier with innovative tools that handle a large amount of data. Data science allows efficient data processing and interpretation, which helps understand the needs and make precise business decisions.

Data Science 52

Data Science Computer Science Portfolio Certification 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Understand the significance of data engineering in facilitating data-driven decision-making processes. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. Machine learning algorithms leverage existing data as input to forecast the expected output. is a question that every beginner seeking a career in the machine learning domain has in his mind.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 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. It contains information about red and white wine.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

NOVEMBER 30, 2021

The capability of learning different business processes. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. You will also compare the two algorithms to understand the differences between them. Communicate with different stakeholders and hold different meetings.

Business Analyst 52

Business Analyst Project Retail Datasets 52

Knowledge Hut

FEBRUARY 7, 2023

incorrect, incomplete, inaccurate, irrelevant parts) to be identified in each step of the data analysis, cleaning, and modeling process. Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. Platform H2O.ai

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

FEBRUARY 5, 2022

For example, consider the Australian Wine Sales dataset containing information about the number of wines Australian winemakers sold every month for 1980-1995. Regression Models Regression models include popular algorithms like linear regression vs logistic regression , etc. Let us discuss them in detail.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

SEPTEMBER 6, 2021

Project Idea: For this project, you can pick a website like Expedia or Kayak, fill in your details using automated fashion, and then crawl the website to extract the price information. Additionally, you can use Python’s smtplib package to send an email containing the information that you extracted from the website to yourself.

Project 52

Project Programming Language Entertainment Python 52

ProjectPro

DECEMBER 14, 2021

Customized Dashboards: The information dashboard can be tailored to meet the demands of a company. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Also, you could use the K-Means clustering algorithm for the clustering analysis.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

DECEMBER 22, 2016

The end goal of a data analyst is to provide organizations with reports that can contribute to faster and better decision making process. Data mining algorithms automatically develop equations. Modelling is an iterative process wherein the model is run repeatedly for improvements.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JANUARY 6, 2022

Can you believe that the human brain takes only 13 milliseconds to process an image? Understanding data requires the use of data visualizations, and this is because visuals are processed 60,000 times faster than text inside the human brain. Humans crave stories, and visualizations allow us to create one from data.

Python 52

Python Datasets Programming Language Data Science 52