Knowledge Hut

JANUARY 22, 2024

Check out the Data Science course fee to start your journey. Why is Data Science So Important? Data is not useful until it is transformed into valuable information. Mining large datasets containing structured and unstructured data and identifying hidden patterns to gain actionable insights are two main tasks in data science.

Data Science 52

Data Science Banking Big Data Insurance 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. influence the land prices.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Method: This NLP project will require you to not use advanced machine learning algorithms. You should train your algorithms with a large dataset of texts that are widely appreciated for the use of correct grammar.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

DECEMBER 21, 2021

The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. You will train and test the data model using the cross-validation method.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 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

AUGUST 13, 2021

Face Detection Kaggle Machine Learning Projects on GitHub 1. COVID-19 Dataset Analysis and Prediction 5. House Price Prediction Open Source Machine Learning Projects on GitHub 1. You can use the Walmart dataset and use Python to predict sales of their stores. Classification System 4. Sentiment Analysis 5. Web Scraping 2.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

OCTOBER 18, 2021

Apart from that, libraries like ggplot, reshape2, data.table will complement your machine learning project. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. for developing these kinds of projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

DECEMBER 17, 2021

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. 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

JUNE 18, 2021

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Java vs Python for Data Science- Frameworks and Tools Python and Java provide a good collection of built-in libraries which can be used for data analytics, data science, and machine learning.

Java 52

Java Data Science Python Programming Language 52

U-Next

OCTOBER 27, 2022

For example, facial recognition software learns to identify faces by comparing them against a database of images. . It encompasses many different technologies, including Machine Learning and Deep Learning. Unsupervised Learning: . Reinforcement Learning: . Generative Adversarial Networks: .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

For example, facial recognition software learns to identify faces by comparing them against a database of images. . It encompasses many different technologies, including Machine Learning and Deep Learning. Unsupervised Learning: . Reinforcement Learning: . Generative Adversarial Networks: .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

OCTOBER 28, 2021

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. It simplifies complex problems by making probabilistic predictions for specific parameters in the dataset. Is Coding required for Machine Learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

JUNE 9, 2021

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 teams are responsible for maintaining data to make it accessible and usable by others.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. A master's degree or a doctorate is desirable.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Creating query to populate and filter the data. Analysis large datasets easily and efficiently.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

OCTOBER 26, 2021

TensorFlow It has a collection of pre-trained models and is one of the most popular machine learning frameworks that help engineers, deep neural scientists to create deep learning algorithms and models. MXNet MXNet is a choice of all Deep Learning developers. It can operate on both CPUs and GPUs.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep 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

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Not only that, but it also provides the option to effortlessly use various popular datasets like MNIST, California Housing, etc. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

AUGUST 5, 2021

You can build a resume parser with the help of artificial intelligence and machine learning techniques that can skim through a candidate’s application and identify skilled candidates, filtering out people who fill their resume with unnecessary keywords. You can use the Resume Dataset available on Kaggle to build this model.

Project 52

Project Datasets Deep Learning Machine Learning 52

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

JANUARY 25, 2022

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Because of its interoperability, it is the best framework for processing large datasets. Easy Processing- PySpark enables us to process data rapidly, around 100 times quicker in memory and ten times faster on storage.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

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

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

FEBRUARY 7, 2023

This tool is also one of the Data Science Bootcamp prerequisites and has to be installed on a system or you can work on online development platforms like Google Colab. Gets slow when working on heavy Deep Learning Algorithms 2. Therefore, no human intervention is required to access the resources. Platform H2O.ai

Data Science 52

Data Science Google Cloud Programming Language AWS 52

U-Next

AUGUST 25, 2022

The popular Machine Learning models and algorithms widely employed in the Artificial Intelligence business include supervised and unsupervised learning algorithms , random forest, k-nearest neighbor, and basics of deep learning. Machine Learning Types. Semi-Supervised Learning. Quantum Computing.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

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

ProjectPro

MARCH 12, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let us suppose that Walmart has a wonderful Thanksgiving Sale and they would like to ensure that their marketing dollars are spent effectively, by having more relevant or delightful offers to advertise for their consumers.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

JULY 7, 2021

As a beginner in the data industry, it can be overwhelming to step into AI and deep learning. After taking a deep learning course or two, you might find yourself getting stuck on how to proceed. Is it difficult to build deep learning models? Why build deep learning projects?

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

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

JULY 30, 2021

In this project, you will be introduced to different types of recommendation systems and learn how to build a recommendation system from scratch. Data Description The dataset contains the following information about the products purchased by different users. on different images in a dataset.

Machine Learning 40

Machine Learning Project Deep Learning 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. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques. Efficient access and retrieval of information.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Databand.ai

DECEMBER 20, 2022

Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. You can also check out his Medium page the boasts 7M+ views.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52