Pickl AI

FEBRUARY 12, 2024

Here are some key areas often assessed: Programming Proficiency Candidates are often tested on their proficiency in languages such as Python, R, and SQL, with a focus on data manipulation, analysis, and visualization. What is cross-validation, and why is it used in Machine Learning?

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 22, 2024

Data Science Bootcamp Pickl.AI This bootcamp includes a dedicated Statistics module covering essential topics like types of variables, measures of central tendency, histograms, hypothesis testing, and more. You will learn by practising Data Scientists. Data Science Job Guarantee Course Pickl.AI

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 18, 2024

The process of conducting Regression Analysis typically involves several steps: Step 1: Data Collection: Gather relevant data for both dependent and independent variables. This data can come from various sources such as surveys, experiments, or historical records.

EDA 52

EDA Exploratory Data Analysis Hypothesis Testing Cross Validation 52

Pickl AI

AUGUST 29, 2023

Data Collection: Based on the question or problem identified, you need to collect data that represents the problem that you are studying. Exploratory Data Analysis: You need to examine the data for understanding the distribution, patterns, outliers and relationships between variables.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

Pickl AI

APRIL 26, 2024

Overfitting occurs when a model learns the training data too well, including noise and irrelevant patterns, leading to poor performance on unseen data. Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. In my previous role, we had a project with a tight deadline.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52