ProjectPro

FEBRUARY 6, 2023

The benefits of using the stemming algorithm in an NLP project can be summarised as follows: It reduces the number of words that serve as an input to the Machine Learning/ Deep Learning model. NLTK NLTK stands for natural language toolkit, one of the most popular libraries for implementing NLP methods.

Algorithm 52

Algorithm Programming Language Python Machine Learning 52

Knowledge Hut

JANUARY 19, 2024

Programming Languages Delving into programming languages such as R and Python, along with exposure to database languages like SQL. Empowers tasks such as language translation and sentiment analysis. Business Intelligence Transforming raw data into actionable insights for informed business decisions.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

While these solutions offer a great breadth of functionality, users must leverage proprietary user interfaces or programming languages to express their logic. Gets slow when working on heavy Deep Learning Algorithms 2. Machine Learning Deep learning It has inbuilt advanced ML and DL libraries like Keras, Pytorch, etc.,

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

SEPTEMBER 6, 2021

The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

ProjectPro

FEBRUARY 5, 2022

Explore More Data Science and Machine Learning Projects for Practice. Time Series Analysis Project in R on Stock Market forecasting Time series methods are used by stock market traders to predict the stock prices of a specific company by analyzing their previous records.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

AUGUST 16, 2021

Project Idea: By merging using unique key values, you can take a look at the statistics of the dataset using Pandas dataframes and Matplotlib library of Python Programming language. So, by working on this dataset, you can learn how to handle such kinds of values. It contains information about red and white wine.

Data Mining 40

Data Mining Coding Project Datasets 40

AltexSoft

AUGUST 18, 2021

Initially created with R programming language, they were translated to C# to comply with the core platform. As with any other deep learning model, it requires tons of data and a great deal of tuning to work well. As for our case, with the novelty approach, we achieved an average accuracy of of 75 percent.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

Hadoop distribution has a generic application programming interface for writing Map and Reduce jobs in any desired programming language like Python, Perl, Ruby, etc. Data Serialization Components are - Thrift and Avro Data Intelligence Components are - Apache Mahout and Drill. What is Hadoop streaming?

Hadoop 40

Hadoop Big Data Metadata Java 40