Remove Big Data Tools Remove Deep Learning Remove R (Programming)
article thumbnail

Time Series Forecasting: What, Why, and, How?

ProjectPro

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. FAQs Why is time series an effective tool of forecasting?

article thumbnail

Top 25 Data Science Tools To Use in 2024

Knowledge Hut

Since this programming language helps develop mobile, desktop, and web applications along with data science capabilities - many prefer to learn this to leverage both data science and software development capabilities that this tool renders. Big Data Tools 23.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 100 Hadoop Interview Questions and Answers 2023

ProjectPro

3) Based on the answer to question no 1, the candidate can ask the interviewer why the hadoop infrastructure is configured in that particular way, why the company chose to use the selected big data tools and how workloads are constructed in the hadoop environment. 9) Which file format is better Parquet or ORC?

Hadoop 40
article thumbnail

Data Scientist Salary-The Ultimate Guide for 2023

ProjectPro

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