Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. This design enables the re-reading of old messages.

Kafka 77

Kafka Python Process Google Cloud 77

Knowledge Hut

JANUARY 22, 2024

To put this in perspective, it is estimated that the entire contents of books printed ever hold 10 terabytes of data in all printed materials. So, one exabyte could hold 100,000 times the printed material, or 500 to 3,000 times the entire contents of the books printed, and we produce 3.3 exabytes of data every month!

Data Science 52

Data Science Banking Big Data Insurance 52

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. However, if you are curious about how they are optimised, we recommend you go through the book mentioned below.

Machine Learning 52

Machine Learning Programming Language Datasets Python 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

ProjectPro

OCTOBER 16, 2021

One can easily design a neural network architecture and perform all sorts of complex operations quickly using TensorFLow. To understand the broad applications of the two libraries in Python, most beginners in machine learning resort to hands-on machine learning with scikit-learn and TensorFlow pdf book.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

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

Databand.ai

DECEMBER 20, 2022

She has nearly two decades of experience in data science and has personally trained over 20,000 Googlers in statistics, decision-making, and machine learning. 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

FEBRUARY 7, 2023

It is a commercial closed-source integrated system of software products designed for advanced analytics and complicated statistical processes required in Business Intelligence. Big organizations and experts employ SAS for their data science projects due to its high reliability. California (USA).

Data Science 52

Data Science Datasets SQL Data Mining 52

ProjectPro

JULY 21, 2021

Utilize natural language data to draw insightful conclusions that can lead to business growth. Design NLP-based applications to solve customer needs. If you are new to NLP, then these NLP full projects for beginners will give you a fair idea of how real-life NLP projects are designed and implemented.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. Creating queries to set up the EXTERNAL TABLE in Hive Create new desired TABLE to copy the data.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JULY 23, 2021

The design and purpose of TensorFlow are mainly to run deep neural networks and train machines to learn and make prompt decisions. He designed it to be fast, easy to implement, and modular by nature. Developers and engineers use Python to implement this library, plus creating a suitable front-end for using the framework.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

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.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 5, 2021

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. Pre-trained machine learning models can be accessed in JavaScript through languages like ml5.js

Project 52

Project Datasets Deep Learning Machine Learning 52

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. But, it is important to wonder how an organization will achieve the same steps on data of different types.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 30, 2021

In this project, you will work on designing an NLP-based text summarization system that takes a lengthy text as input and generates relevant phrases to output a concise summary of the input text. Anomalies in data can occur due to technical glitches or other critical issues and, if not handled properly, can result in incorrect data analysis.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40