Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

JANUARY 19, 2024

Deep dive into data science concepts, covering subjects such as follows: Subject Name Information Statistics and Probability The fundamentals of probability and statistical science, including basics of linear algebra. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning , and deep learning.

Engineering 52

Engineering Computer Science Programming Language Education 52

U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. The only differentiators are ‘Consciousness’ and ’emotionality,’ being present only in the latter. Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Introduction. ML And AI Are The Future.

Medical 52

Medical Computer Science Scala Machine Learning 52

U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. Matplotlib.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Knowledge Hut

JULY 31, 2023

In today's digital era, eCommerce has become a booming industry, offering convenience and accessibility to consumers worldwide. The primary aim is to discover how deep learning algorithms can be applied to analyze vast amounts of data, user behavior, product information, contextual factors, etc. Why Choose this Paper?

Electronics 52

Electronics Deep Learning Big Data Data Analytics 52

ProjectPro

OCTOBER 29, 2021

How then is the data transformed to improve data quality and, consequently, extract its full potential? Data Preprocessing to the rescue! Table of Contents What is Data Preprocessing? This is why we will get back to the über important topic of improving data quality by preprocessing in the later section.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Engineering involves designing and building data pipelines that extract, analyze, and convert data into a valuable and meaningful format for predictive and prescriptive modeling.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

U-Next

AUGUST 25, 2022

Doing research in that field would be highly beneficial if you’re going for an MS in computer vision, deep learning, etc. The sentiment classification algorithm examines the phrases in each mobile user’s remark on a particular product and begins matching them with phrases already present in the databases.

Project 40

Project Engineering Medical Healthcare 40

U-Next

JULY 4, 2022

Therefore the demand for data scientists and other data science professionals is increasing. Anyone who desires to pursue a data scientist career path should have deep knowledge of mathematics, statistics, deep learning, artificial intelligence, machine learning, etc. Why is Data Science Important?

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

OCTOBER 16, 2021

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. But this problem was solved to an extent by the introduction of a deep learning framework, TensorFlow.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 22, 2024

Here is an overview of the key pros and cons: Online Courses Offer significant flexibility - you can access course materials at any time from anywhere at your own pace. This makes it easier to balance learning with work and other commitments. Allow access to a global pool of instructors and peers.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

JULY 21, 2021

All the numbers presented above suggest that there will be a huge demand for people who are skilled at implementing AI-based technologies. Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms.

Coding 52

Coding Project Deep Learning 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.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

AUGUST 13, 2021

We have presented a list of top machine projects on Github that utilise the datasets for Kaggle for implementing a machine learning project idea. Neural Networks Neural networks are one of the most widely used Machine Learning models by Data Scientists. It is an excellent framework for executing deep learning projects.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

DECEMBER 21, 2021

You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. Source Code: Rossman Store Sales Prediction Project Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

APRIL 20, 2023

In this post, we'll look at the parallels and distinctions between both professions to help you understand the difference between cybersecurity and data science. Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

NOVEMBER 3, 2021

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

DECEMBER 17, 2021

So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

AUGUST 5, 2021

The data is present in the form of text and needs to be pre-processed. You might not be able to find a dataset that has a collection of Instagram spam comments, but you can collect the data for this analysis by scraping the web. Access the Instagram API with Python to get unlabelled comments from Instagram.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

SEPTEMBER 26, 2021

The key responsibilities are deploying machine learning and statistical models , resolving data ambiguities, and managing of data pipelines. Big Data Engineer identifies the internal and external data sources to gather valid data sets and deals with multiple cloud computing environments.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 28, 2021

This statistic suggests that the popularity of machine learning (ML) among different organisations is definitely going to increase in the future. Machine Learning is receiving so much traction because it reveals insightful facts from a given dataset that would not have been gained access to by using other tools.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. It uses deep learning algorithms to classify the list of songs to the smartphone user.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 30, 2021

So, check out the list of challenging machine learning projects below that will help you in upgrading your skillset. In this project, you will be introduced to different types of recommendation systems and learn how to build a recommendation system from scratch. To curate those suggestions list, these websites use recommender systems.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

FEBRUARY 1, 2022

A data science case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. Data Mining — How did you scrape the required data ? you set up to source your data. I will selectively choose the data from those auctions which are completed.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JANUARY 15, 2021

Look no further…Whether it’s Retail , Healthcare, Banking & Finance , Crime, or, really any other kind of machine learning dataset, we’ve curated a list of top machine learning datasets on everything to help you make your models successful. However, this is slightly more challenging than its drop-in replacement.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 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. You can decide the look of the website and present your projects. Keep your portfolio short and crisp.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? What are Data Scientist roles?

Retail 52

Retail Data Science Computer Science Entertainment 52

AltexSoft

MAY 12, 2023

These files store visual information and require specialized techniques such as computer vision to analyze and extract data. Audio data is usually presented in formats such as MP3 (.mp3), Analysis of structured data is typically performed using SQL queries and data mining techniques. jpg,jpeg), PNG (.png),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59