ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 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

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

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

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

It allows high-performance management of data using its powerful data structures. Pandas allow cleaning of messy datasets enabling them to be more readable and relevant. PySpark allows one to interface with Resilient Distributed Datasets (RDD’s) in Apache Spark and the Python programming language.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

JUNE 9, 2021

It entails generating data visualizations and charts for analysis. Data Engineering assists the Data Science team by implementing feature transformations with the help of big data technologies on datasets to train predictive models. It doesn't entail creating data visualizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

APRIL 20, 2017

These Hadoop projects come with detailed understanding of the problem statement, source code, dataset and a video tutorial explaining the entire solution. Users will work on the Million Song Dataset released by the Columbia University’s Lab for Recognition and Organization of Speech and Audio.

Hadoop 40

Hadoop Big Data Coding Project 40

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 52

Deep Learning Python Programming Language Machine Learning 52

Knowledge Hut

MAY 30, 2024

Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Data Mining 12. The Role of Big Data Analytics in the Industrial Internet of Things ScienceDirect.com Datasets can have answers to most of your questions. Welcome to the world of data-driven insights! Robotics 1.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

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

Knowledge Hut

MAY 23, 2024

This tool can work in close tandem with other products like Search Console, Google Ads, and Data Studio, which makes it a widespread option for anyone using leveraging different Google products. Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Multipurpose Data science Tools 4.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Knowledge Hut

SEPTEMBER 6, 2023

As we all know Data Science is the most demanding job in the IT industry, today tons of data is created by just a single click, hence it is extremely important that this data is properly tailored and utilized to make viable business decisions. Expiration - No expiry 5. Expiration - No expiry 6.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

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. Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. Because of its interoperability, it is the best framework for processing large datasets.

Big Data 52

Big Data Data Process Process Kafka 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

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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

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. Centralize data resources Data Science Platforms have a unified location for all work.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

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.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59