ODSC - Open Data Science

NOVEMBER 5, 2024

Some data points only have a 0.0005976% chance to have arranged themselves randomly around a line. Hypothesis Testing and Machine Learning Now here’s the kicker: when you do machine learning (including that simple linear regression above), you are in fact searching for hypotheses that identify relationships in the data.

Hypothesis Testing 52

Hypothesis Testing Machine Learning Machine Learning Data Mining 52

Data Science Dojo

JANUARY 16, 2023

Exploratory analysis Exploratory analysis involves consulting various data sets to see how certain variables may be related, or how certain patterns may be driving others. Diagnostic analytics includes methods such as hypothesis testing, determining a correlations v/s causation, and diagnostic regression analysis.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Towards AI

MARCH 17, 2023

Random variable: Statistics and data mining are concerned with data. How do we link sample spaces and events to data? One of the most important applications is hypothesis testing. [I I am going to write a separate blog on hypothesis testing, but till then, you can refer attached link.].

Hypothesis Testing 98

Hypothesis Testing Data Mining Data Mining Data Mining 98

Pickl AI

OCTOBER 14, 2024

Role in Extracting Insights from Raw Data Raw data is often complex and unorganised, making it difficult to derive useful information. Data Analysis plays a crucial role in filtering and structuring this 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

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. What does a typical Data Science syllabus cover?

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

AUGUST 27, 2024

Statsmodels Allows users to explore data, estimate statistical models, and perform statistical tests. It is particularly useful for regression analysis and hypothesis testing. Pingouin A library designed for statistical analysis, providing a comprehensive collection of statistical tests.

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Pickl AI

MARCH 3, 2023

There are other types of Statistical Analysis as well which includes the following: Predictive Analysis: Significantly, it is the type of Analysis useful for forecasting future events based on present and past data. Effectively, the test result can help nullify the hypothesis, in which case it becomes a null hypothesis or hypothesis 0.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40