Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

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Knowledge Hut

FEBRUARY 1, 2024

Movie Recommendation System Architecture The movie recommendation system architecture is a complex process that utilizes various algorithms to suggest movies to users based on their preferences. The primary advantage of content-based filtering is that it can produce reliable recommendations, even with the absence of user data.

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Knowledge Hut

DECEMBER 26, 2023

In this list, you will find the best data scientist books to take you further in your career as a data scientist. Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms.

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Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

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ProjectPro

JANUARY 24, 2023

SpaCy SpaCy is an open-source library in Python that is used for completing Natural Language Processing (NLP) tasks. As per its official website, SpaCy supports about 72+ languages and can handle large textual datasets fluently. This means the dataset is never loaded in the system’s RAM.

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U-Next

AUGUST 8, 2022

What Are the Distinctions Between Machine Learning and Data Mining? In contrast, information mining is the practice of trying to remove information or intriguing patterns from unstructured data. Learning algorithms are applied in this processing system. The system is not taught on labelled data.

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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.

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U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

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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.

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ProjectPro

DECEMBER 21, 2021

Good knowledge of probabilistic topics such as conditional probability, Bayes rule, likelihood, Markov Decision Processes, etc., is also an essential skill to pursue a machine learning career. The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners.

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ProjectPro

JULY 21, 2021

One such sub-domain of AI that is gradually making its mark in the tech world is Natural Language Processing (NLP). Good knowledge of commonly used machine learning and deep learning algorithms. Method: The first step to start designing the Sentiment Analysis system would involve performing EDA over textual data.

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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. ML And AI Are The Future.

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U-Next

OCTOBER 27, 2022

It has recently gained prominence and has been deployed for various purposes, such as data storage, processing, and software development. AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. Introduction .

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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.

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U-Next

OCTOBER 16, 2022

It has recently gained prominence and has been deployed for various purposes, such as data storage, processing, and software development. AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. Introduction .

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ProjectPro

JUNE 18, 2021

Python is used heavily in the backend to process the data. Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. Many top companies like Spotify, Uber, continue to use Java along with Python to host business-critical data science applications.

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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.

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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.

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Knowledge Hut

MAY 3, 2024

If you explore machine learning with Python syllabus , you will realize the extent of the application of KNN. Also, you will find a lot of intense application of K-NN in data mining, pattern recognition, semantic searching, intrusion detection and anomaly detection. What is K-Nearest Neighbors?

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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 9, 2021

Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions. In contrast, Data Engineering consists of creating pipelines to extract and process data to generate valuable business insights. Who is a Data Scientist?

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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.

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Knowledge Hut

MAY 30, 2024

Natural Language Processing Techniques 2. Big Data Analytics in the Industrial Internet of Things 4. Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Digital Image Processing: 6. Data Mining 12. Welcome to the world of data-driven insights! Robotics 1.

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U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. What Is Deep Learning Python? Python is also intriguing to many developers since it is simple to learn. Deep Learning’s Top Python Libraries.

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ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Problem Statement With increasing number of ecommerce businesses, there is a need to track and analyse clickstream data.

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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?

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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.

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Knowledge Hut

MAY 23, 2024

It helps companies understand data and obtain meaningful insights from it. According to the GlobeNewswire report , the projected growth of the data science market will hike up to a CAGR of 25 percent by 2030. With the increase in the demand for data science, job opportunities are also exponentially high.

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ProjectPro

JANUARY 25, 2022

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. You can accomplish this using the Py4j library.

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Knowledge Hut

SEPTEMBER 6, 2023

You will learn about Python, SQL, statistical modeling and data analysis. This course covers a wide range of Machine Learning algorithms varying from simpler to complex concepts like decision trees and random forests to Natural language processing and Neural Networks. Expiration - No expiry 5. Expiration - No expiry 6.

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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.

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ProjectPro

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. MXNet MXNet is a choice of all Deep Learning developers.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

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.

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Machine Learning Deep Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. Artificial Intelligence, at its core, is a branch of Computer Science that aims to replicate or simulate human intelligence in machines and systems.

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ProjectPro

AUGUST 5, 2021

If you’d like to build models that can converse with people and learn human language, you can work in the field of NLP (Natural Language Processing). Since there can be hundreds of applications for a single position, this process has been automated in several ways — the most common is keyword matching.

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ProjectPro

DECEMBER 22, 2016

The job role of a data analyst involves collecting data and analyzing it using various statistical techniques. The end goal of a data analyst is to provide organizations with reports that can contribute to faster and better decision making process. Data analysis begins with a question or an assumption.

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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.

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