Siddhu-T/Fintech-Churn-Analysis

Language: Jupyter Notebook - Size: 1.36 MB - Last synced: about 19 hours ago - Pushed: about 21 hours ago - Stars: 0 - Forks: 0

astonglen/Statistical-Methods-Project

Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.

Language: Jupyter Notebook - Size: 3.01 MB - Last synced: 14 days ago - Pushed: 14 days ago - Stars: 1 - Forks: 0

shwetapardhi/Assignment-03-Q5--Hypothesis-Testing

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

Language: Jupyter Notebook - Size: 0 Bytes - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 0 - Forks: 0

shwetapardhi/Assignment-03-Q4-Hypothesis-Testing

Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5

Language: Jupyter Notebook - Size: 0 Bytes - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 0 - Forks: 0

mjchimbadzwa/Customer-service-requests-analysis-Simplilearn

This assessment project at Simplilearn equipped me with data manipulation, exploratory data analysis (EDA), and statistical analysis skills using Python.

Language: Jupyter Notebook - Size: 337 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

BalajiN743/Hypothesis-Testing-EXamples

Hypothesis testing examples

Language: Jupyter Notebook - Size: 8.79 KB - Last synced: 6 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

vaitybharati/P21.-Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers-

Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers. Assume Null Hypothesis as Ho: Independence of categorical variables (Athlete and Smoking not related). Thus Alternate Hypothesis as Ha: Dependence of categorical variables (Athlete and Smoking is somewhat/significantly related). As (p_value = 0.00038) < (α = 0.05); Reject Null Hypothesis i.e. Dependence among categorical variables Thus Athlete and Smoking is somewhat/significantly related.

Language: Jupyter Notebook - Size: 62.5 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 1

vaitybharati/P22.-Hypothesis-Testing-Chi2-Test-Human-Gender-and-Choice-of-Pets-

Hypothesis-Testing-Chi2-Test-Human-Gender-and-Choice-of-Pets. Assume Null Hypothesis as Ho: Human Gender and choice of pets is independent and not related. Thus Alternate Hypothesis as Ha : Human Gender and choice of pets is dependent and related. As (p_valu=0.1031) > (α = 0.05); Accept Null Hypothesis i.e Independence among categorical variables. Thus, there is no relation between Human Gender and Choice of Pets.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

vaitybharati/Assignment-03-Q4-Hypothesis-Testing-

Chi2 contengency independence test. Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5% significance level and help the manager draw appropriate inferences.

Language: Jupyter Notebook - Size: 3.91 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 1

vaitybharati/Assignment-03-Q3-Hypothesis-Testing-

Chi2 contengency independence test. Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does vary and somewhat/significantly related)

Language: Jupyter Notebook - Size: 39.1 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 2 - Forks: 1

vaitybharati/Assignment-03-Q5-Hypothesis-Testing-

Chi2 contengency independence test. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis.

Language: Jupyter Notebook - Size: 2.93 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

belladzhu/statistic

Проекты по статистике

Language: Jupyter Notebook - Size: 2.86 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

pedramsafaeifar/Ad_Clicks___AB_Testing

Testing the performance of two distinct ads using hypothesis testing tools and other relevant modules.

Language: Jupyter Notebook - Size: 147 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

sciapponi/faikr-bn

Bayesian Network - University Project Report

Language: Jupyter Notebook - Size: 2.34 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 0 - Forks: 1

fennywijaya/Model-Fitness-Segmentation

Create customer segmentation from a fitness franchise customer data using machine learning algorithms, submitted as project during course in Practicum Indonesia.

Language: Jupyter Notebook - Size: 436 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

data-becki/NBA-Trends-Project

Using pearsonr and chi2_contingency from scipy stats to analyze data from the NBA (National Basketball Association) and explore possible associations.

Language: Jupyter Notebook - Size: 506 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MvMukesh/EmployesEarning-DeepAnalysis_Prediction

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

Language: HTML - Size: 3.81 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

lmizner/codecademy_nba_trends

Investigate whether there is an association between two variables

Language: Jupyter Notebook - Size: 539 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

rushikeshw791/Hypothesis-testing-3

Chi2 contengency independence test. Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data a…

Language: Jupyter Notebook - Size: 5.86 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

rushikeshw791/Hypothesis-testing-2

Chi2 contengency independence test. Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does vary and somewhat/si…

Language: Jupyter Notebook - Size: 3.91 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

SukanyaPa/Assignment-3-Hypothesis-Testing

Used libraries and functions as follows:

Language: Jupyter Notebook - Size: 29.3 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MoinDalvs/Hypothesis_test_3

Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions

Language: Jupyter Notebook - Size: 65.4 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

MoinDalvs/Learn_hypothesis_testing_for_Data_science

Hypothesis for Data Science

Language: Jupyter Notebook - Size: 1 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

MarvinEdorh/Data-Mining

UX Analytics & A/B Testing

Language: Python - Size: 1.94 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0