Data Analysis Data Wrangling Exploratory Data Analysis Support Vector Machines 
Pickl AI
FEBRUARY 12, 2024
Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Here is a brief description of the same.
Pickl AI
SEPTEMBER 12, 2024
Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.
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