ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

OCTOBER 6, 2021

Online Book Store System using Google Cloud Platform 15 Sample GCP Real Time Projects for Practice in 2023 With the need to learn Cloud Platform as part of any analytical job role, it is essential to understand the basics and then gain some hands-on experience leveraging the cloud platforms. Technologies like SQL are used on GCP.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

AltexSoft

JULY 27, 2021

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JULY 15, 2021

SaaS is the most common out of all, and it makes computing services accessible over a mobile/web app. IaaS provides users with access to basic computer infrastructure capabilities. The users can access massive platforms and apps without maintaining large-scale IT infrastructures.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

Databand.ai

DECEMBER 20, 2022

In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

JULY 23, 2021

But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Deep Learning algorithms can imitate the working of the human brain. It creates patterns and feeds on data to make machines eligible to reap decisions on their own.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

JULY 7, 2021

Dating App Algorithm 10. Suppose you have some programming background and knowledge of machine learning algorithms- you can quickly get started in the field of deep learning by reading a beginner-level book on the subject and practicing diverse machine learning and deep learning projects. Digit Recognition System 4.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

ProjectPro

AUGUST 5, 2021

Candidates are aware of the keyword matching algorithm, and many of them insert as many keywords as possible into their resumes to get shortlisted by the company. The data is present in the form of text and needs to be pre-processed. Access the Instagram API with Python to get unlabelled comments from Instagram.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

MARCH 14, 2014

Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data. It includes the employee's data that ranges from performance histories, survey results to salaries.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour. How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JULY 30, 2021

With so many companies gradually diverting to machine learning methods , it is important for data scientists to explore MLOps projects and upgrade their skills. In this project, you will work on Google’s Cloud Platform (GCP) to build an Image segmentation system using Mask RCNN deep learning algorithm.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

JANUARY 15, 2021

For a machine learning model to perform different actions, two kinds of datasets are required – Training Dataset - The data that is fed into the machine learning algorithm for training. Test Dataset or Validation Dataset – The data that is used to evaluate and test that the machine learning model is interpreting accurately.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

AUGUST 24, 2021

Source Code: Real-World Data Engineering Project on COVID-19 Data 10) Movielens Data Analysis for Recommendations Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Ensure that the website has a simple UI and can be accessed by anyone.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52