Data Science Dojo

OCTOBER 16, 2023

It is practically impossible to test it on every single member of the population. Inferential statistics employ techniques such as hypothesis testing and regression analysis (also discussed later) to determine the likelihood of observed patterns occurring by chance and to estimate population parameters.

Hypothesis Testing 261

Hypothesis Testing Data Visualization Data Science Clustering 261

Towards AI

MARCH 17, 2023

How do we link sample spaces and events to data? This means that as the sample size increases, the distribution of the sum or average becomes more tightly clustered around the mean of the distribution, and the shape of the distribution becomes more bell-shaped. One of the most important applications is hypothesis testing. [I

Hypothesis Testing 98

Hypothesis Testing Data Mining Data Mining Data Mining 98

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

OCTOBER 15, 2024

Hypothesis Testing : Statistical Models help test hypotheses by analysing relationships between variables. They identify patterns in existing data and use them to predict unknown events. These models help in hypothesis testing and determining the relationships between variables.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

OCTOBER 14, 2024

Different approaches help organisations make sense of raw data, from simply summarising past events to predicting future outcomes. Clustering: Grouping similar data points to identify segments within the data. Techniques Hypothesis Testing: Determining whether enough evidence supports a specific claim or hypothesis.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

NOVEMBER 29, 2024

In simple terms, variance captures the degree of “spread-outness” in a dataset—whether the values are clustered closely around the mean or widely dispersed. However, variance offers a clearer mathematical foundation for advanced analyses , such as regression and hypothesis testing. What Does Variance Measure?

Clustering 52

Clustering Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Students should understand the concepts of event-driven architecture and stream processing. Knowledge of RESTful APIs and authentication methods is essential.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52