Remove Data Wrangling Remove SQL Remove Supervised Learning
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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

In programming, You need to learn two types of language. One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database.

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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. Differentiate between supervised and unsupervised learning algorithms.

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Best Resources for Kids to learn Data Science with Python

Pickl AI

Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. Data Wrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

NoSQL Databases These databases, such as MongoDB, Cassandra, and HBase, are designed to handle unstructured and semi-structured data, providing flexibility and scalability for modern applications. Understanding the differences between SQL and NoSQL databases is crucial for students.

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Announcing the ODSC West 2023 Preliminary Schedule

ODSC - Open Data Science

Register now while tickets are 50% off. Prices go up Friday!