Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Learn about Dataframes, Pandas, and Numpy to begin with.

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ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Interact with the data scientists team and assist them in providing suitable datasets for analysis. That needs to be done because raw data is painful to read and work with.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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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ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

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Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

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Machine Learning Project Deep Learning Banking 40

AltexSoft

DECEMBER 15, 2021

The software will make this choice itself, picking from the existing portfolio of options the one fitting your task best. The accuracy of the forecast depends not only on features but also on hyperparameters or internal settings that dictate how exactly your algorithm will learn on a specific dataset. Source: Google Cloud Blog.

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Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. Building a portfolio of projects will give you the hands-on experience and skills required for performing sentiment analysis.

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Coding Project Entertainment Datasets 52

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 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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Machine Learning Coding Project Deep Learning 40

ProjectPro

DECEMBER 17, 2021

So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. Crypto Forecasting Cryptocurrencies and blockchains are expected to be the future of the global economy.

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ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. Load the dataset into a data frame and remove rows of data NaN values.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Serverless Image Recognition Engine 13.

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AWS Project Amazon Web Services Cloud Computing 52

Databand.ai

DECEMBER 13, 2022

Deepak regularly shares blog content and similar advice on LinkedIn. She also runs dutchengineer.org, which features a blog and newsletter full of tips for landing your dream job in data science, and offers digital courses and one-on-one mentoring for data scientists and data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

NOVEMBER 24, 2021

Allow us to challenge your thoughts and read this blog as we will help you answer all those questions. Knowledge of machine learning algorithms and deep learning algorithms. Experience in handling large datasets and drawing meaningful conclusions from them. What are the requirements to learn machine learning ?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

AltexSoft

SEPTEMBER 19, 2023

External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

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Hospitality Machine Learning Data Governance BI 52

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it.

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ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

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ProjectPro

JANUARY 25, 2022

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? How long does it take to learn PySpark? Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python.

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ProjectPro

FEBRUARY 11, 2021

(2023 Update) Machine Learning Engineer – The Hype is Real 2) What is a machine learning engineer? How to become a machine learning engineer at Google? Applies machine learning to build actual data products The job of a machine learning engineer is experimental. The job of a data scientist is exploratory.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Knowledge Hut

FEBRUARY 7, 2023

In this blog, we go through what a Data Science Platform is, the different types of platforms, and how they can be used to bring value to the business so that the big corporates can stay in the race to conquer the market of the future. Gets slow when working on heavy Deep Learning Algorithms 2. Platform H2O.ai

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Data Science Google Cloud Programming Language AWS 52

ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. HDFS also acts as the storage layer for HBase for reading and writing - to large unstructured datasets. PayPal uses 3 types of Machine Learning algorithms –Neural Networks, Deep Learning and Linear Regression.

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Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Build a job-winning Big Data portfolio with end-to-end solved Apache Spark Projects for Resume and ace that Big Data interview! Snowflake offers no built-in virtual private networking.

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Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

FEBRUARY 19, 2021

Image Source: [link] Overfitting : Overfitting happens when the ML model learns the training data such that it memorizes every little detail and noise, making it less generalizable and therefore the model performs badly on any unknown dataset and is ridiculously complex. So, we’ll take an example.

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