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Md Sohel Mahmood
Md Sohel Mahmood

415 Followers

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New Free Course on Logistic Regression

Statistic in R Series — Hello Everyone, I have created a new course on Logistic Regression. This course covers all the topics that I have written so far on TDS and other blogs. The videos and resources will be helpful for anyone interested to perform logistic regression in R. Link to course: Logistic Regression Made…

Logistic Regression

2 min read

New Free Course on Logistic Regression
New Free Course on Logistic Regression
Logistic Regression

2 min read


Published in

Towards Data Science

·Pinned

Prediction in Various Logistic Regression Models (Part 1)

Statistics in R Series — Introduction We have covered various types of logistic regression in the past several articles. The goal of all these models is to predict future data points as well as intermediate data points as accurately as possible. …

Predictions

8 min read

Prediction in Various Logistic Regression Models (Part 1)
Prediction in Various Logistic Regression Models (Part 1)
Predictions

8 min read


Published in

Towards Data Science

·Pinned

Prediction in Various Logistic Regression Models (Part 2)

Statistics in R Series — Introduction We have covered logistic regression models for both binary and ordinal data and also demonstrated how to implement the model in R. Moreover the prediction analysis using the R libraries was also discussed in earlier articles. We have seen the impact of single as well as multiple predictors on…

Generalized

8 min read

Prediction in Various Logistic Regression Models (Part 2)
Prediction in Various Logistic Regression Models (Part 2)
Generalized

8 min read


Published in

Towards Data Science

·Pinned

Outlier Detection (Part 2)

Adjusted Boxplot for skewed distribution — Introduction In the pervious article, I have discussed about outlier detection procedures for mostly normal distributions. The procedures include IQR (Inter-Quartile Range) Standard deviation Z-score Modified Z-score We have gone through the boxplots after these abovementioned procedures are implemented and shown the number of outliers in each case. In real…

Outliers

5 min read

Outlier Detection (Part 2)
Outlier Detection (Part 2)
Outliers

5 min read


Published in

Towards Data Science

·Pinned

Practical implementation of outlier detection in python

IQR, Hampel and DBSCAN method — Outliers, one of the buzzwords in the manufacturing industry, has driven engineers and scientists to develop newer algorithms as well as robust techniques for continuous quality improvement. If the data include even if one outlier, it has the potential to dramatically skew the calculated parameters. Therefore, it is of utmost…

Interquartile Range

7 min read

Practical implementation of outlier detection in python
Practical implementation of outlier detection in python
Interquartile Range

7 min read


Published in

Learning from Data

·3 days ago

Understanding Analysis of Variance (ANOVA) with Examples in R

Statistics with R in 3 minutes — Introduction Analysis of Variance, or ANOVA, is a statistical technique used to analyze the differences among group means in a sample. It helps us determine whether there are statistically significant differences between the means of three or more independent (unrelated) groups. ANOVA is a powerful tool widely used in various…

Statistics

3 min read

Understanding Analysis of Variance (ANOVA) with Examples in R
Understanding Analysis of Variance (ANOVA) with Examples in R
Statistics

3 min read


Published in

Learning from Data

·4 days ago

Understanding and Performing Paired T-Test in R

Statistics with R in 3 minutes — Introduction The paired t-test, also known as the dependent t-test or matched pairs t-test, is a statistical hypothesis test used to determine whether the means of two related groups are significantly different from each other. It is particularly useful when you want to compare the means of paired observations, such…

Statistics

3 min read

Understanding and Performing Paired T-Test in R
Understanding and Performing Paired T-Test in R
Statistics

3 min read


Published in

Learning from Data

·5 days ago

Understanding Univariate T-Test with R

Statistics with R in 3 minutes — Introduction In statistics, hypothesis testing is a powerful tool used to make inferences about populations based on sample data. One commonly used test is the univariate t-test, which assesses whether the means of two groups are statistically different from each other. This test is especially useful when you want to…

Univariate Analysis

3 min read

Understanding Univariate T-Test with R
Understanding Univariate T-Test with R
Univariate Analysis

3 min read


Published in

Learning from Data

·Jul 11

Categorical Data Analysis

Example 1 —

Data

1 min read

Categorical Data Analysis
Categorical Data Analysis
Data

1 min read


Jun 4

Independence of Irrelevant Alternatives (IIA)

Statistics in R Series — Introduction The concept of Independence of Irrelevant Alternatives (IIA) is used in economics and decision theory to describe the fact that when a third, irrelevant alternative is introduced, the relative preferences between the two alternatives should not change. …

Independence

4 min read

Independence of Irrelevant Alternatives (IIA)
Independence of Irrelevant Alternatives (IIA)
Independence

4 min read

Md Sohel Mahmood

Md Sohel Mahmood

415 Followers

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