Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. What does a typical Data Science syllabus cover?

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Use cases include visualising distributions, relationships, and categorical data, effortlessly enhancing the aesthetics of your plots. It offers simple and efficient tools for data mining and Data Analysis. These tools allow you to process and analyse vast amounts of data efficiently.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 28, 2023

Indulging in the use of programming languages like Python or R for Data Cleaning Chiefly conducting Statistical analysis using Machine Learning algorithms like NLP, Logistic regression, etc. At length, use Hadoop, Spark, and tools like Pig and Hive to develop big data infrastructures.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Smart Data Collective

NOVEMBER 29, 2019

We have witnessed a number of ways that big data can influence the industry. Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools. This is largely due to Google’s investment in big data and AI technology.

Big Data 68

Big Data Big Data Data Mining Data Mining 68

Pickl AI

MARCH 10, 2023

Challenge #1: Data Cleaning and Preprocessing Data Cleaning refers to adding the missing data in a dataset and correcting and removing the incorrect data from a dataset. On the other hand, Data Pre-processing is typically a data mining technique that helps transform raw data into an understandable format.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

Pickl AI

JULY 18, 2023

Java: Scalability and Performance Java is renowned for its scalability and robustness, making it an excellent choice for handling large-scale data processing. With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

AUGUST 21, 2024

Here are some popular options: Web Crawling Tools Web crawling tools automate the process of extracting data from websites. They can collect information for various purposes, such as market research, SEO analysis, or data mining. It is highly customizable and supports various data storage formats.

Apache Hadoop 52

Apache Hadoop Hadoop Database Data Quality 52

Pickl AI

APRIL 18, 2023

Thus, it focuses on providing all the fundamental concepts of Data Science and light concepts of Machine Learning, Artificial Intelligence, programming languages and others. Usually, a Data Science course comprises topics on statistical analysis, data visualization, data mining and data preprocessing.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

OCTOBER 14, 2024

Key subjects often encompass: Statistics and Probability: Students learn statistical techniques for Data Analysis, including hypothesis testing and regression analysis, which are crucial for making data-driven decisions. Machine Learning Engineer : ₹12,30,000 per year (average salary: ₹10,80,000 per year).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52