ProjectPro

JANUARY 20, 2022

These statistics show that it's a perfect time to pursue a career in machine learning and artificial intelligence. Prerequisites to Learn Machine Learning Machine learning engineers often need a bachelor's degree in computer science, mathematics, statistics, or a related discipline. to test and optimize your model.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 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. A data scientist course syllabus introduces languages like Python, R, and SQL – the magic wands for data manipulation. Bringing human-like expertise to problem-solving.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

FEBRUARY 5, 2022

Explore More Data Science and Machine Learning Projects for Practice. You will learn how to preprocess the data and plot various graphs using libraries in Python. Furthermore, you will learn the difference between regression and autoregression.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

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. Check out these data science projects with source code in Python today! It lowers the complexity of the input space.

Algorithm 52

Algorithm Programming Language Machine Learning Python 52

Knowledge Hut

MAY 23, 2024

If you go for a data science with python certification , you will be trained on all the current data science tools. It caters to various built-in Machine Learning APIs that allow machine learning engineers and data scientists to create predictive models. Programming Language-driven Tools 9.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

FEBRUARY 7, 2023

Anaconda Data Science Platform Anaconda offers the easiest way to perform Python/R data science and machine learning on a single machine. Gets slow when working on heavy Deep Learning Algorithms 2. GCP Application Engine is restricted only to languages like Java, Python, PHP, and Google Go only.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 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. Many e-commerce chains, such as Amazon, eBay, etc.,

Machine Learning 52

Machine Learning Retail Healthcare Algorithm 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

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. How to Flatten a Matrix?

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? 4) What is SerDe in Hive?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

FEBRUARY 24, 2016

These companies are looking to hire the brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python, and R skills for their own data science teams. 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.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40