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Turkey Jacks Up Interest Rates in Reversal for Erdogan

Turkey’s central bank raised interest rates to 15%, the first increase since 2021 and part of a policy correction by the country’s new economic leaders. Turkey’s central bank raised interest rates to 15%, the first increase since 2021 and part of a policy correction by the country’s new economic leaders. FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is…

From Clusters To Insights; The Next Step | by Erdogan Taskesen | May, 2023

For this use case, we will load the online shoppers’ intentions data set and go through the steps of preprocessing, clustering, evaluation and then determining the significantly associated features for the cluster labels. This data set contains in total of 12330 samples with 18 features. This mixed dataset requires a few more pre-processing steps to make sure that all variables have similar types or units of measurement. Thus, the first step is to create homogeneous data sets with units that are comparable. A common…

From Data to Clusters: When is Your Clustering Good Enough? | by Erdogan Taskesen | Apr, 2023

To determine data-driven clusters, that may behold new or unknown information, we carefully need to perform four constitutive steps to go from the input data set to sensible clusters. Libraries such as distfit and clusteval can help in this process.Coming up with a sensible grouping of samples requires more than blindly running a clustering algorithm.Step 1: Investigate the underlying distribution of the data.Investigating the underlying distribution of the data is an important step because clustering algorithms rely on…

Turkey’s Erdogan Faces Biggest Election Challenge Over Economy

KAYSERI, Turkey—Once celebrated as the leader who lifted millions of Turks into the middle class, President Recep Tayyip Erdogan is facing the most serious challenge to his 20-year rule in an election next month amid voters’ anger over his handling of the economy. The rising cost of food, energy, medicine and other essentials have unraveled the standard of living for the majority of Turkey’s 85 million people in recent years. Many Turks are cutting back on meat, fish, alcohol and even vegetables. Others…

Step-by-Step Guide to Generate Synthetic Data by Sampling From Univariate Distributions | by Erdogan Taskesen | Mar, 2023

Learn how to create synthetic data in case your project runs low on data or use it for simulationsPhoto by Debby Hudson on UnsplashData is the fuel in Data Science projects. But what if the observations are scarce, expensive, or difficult to measure? Synthetic data can be the solution. Synthetic data is artificially generated data that mimics the statistical properties of real-world events. I will demonstrate how to create continuous synthetic data by sampling from univariate distributions. First, I will show how to…

Outlier Detection Using Principal Component Analysis and Hotelling’s T2 and SPE/DmodX Methods | by Erdogan Taskesen | Mar, 2023

Thanks to PCA’s sensitivity, it can be used to detect outliers in multivariate datasets.Photo by Andrew Ridley on UnsplashPrincipal Component Analysis (PCA) is a widely used technique for dimensionality reduction while preserving relevant information. Due to its sensitivity, it can also be used to detect outliers in multivariate datasets. Outlier detection can provide early warning signals for abnormal conditions, allowing experts to identify and address issues before they escalate. However, detecting outliers in…

Outlier Detection Using Distribution Fitting in Univariate Datasets | by Erdogan Taskesen | Feb, 2023

Learn how to detect outliers using Probability Density Functions and bring fast and explainable results without training labelsPhoto by Randy Fath on UnsplashAnomaly or novelty detection is applicable in a wide range of situations where a clear, early warning of an abnormal condition is required, such as for sensor data, security operations, and fraud detection among others. Due to the nature of the problem, outliers do not present themselves frequently, and due to the lack of labels, it can become difficult to create…

How to Find the Best Theoretical Distribution for Your Data. | by Erdogan Taskesen | Feb, 2023

Knowing the underlying data distribution is an essential step for data modeling and has many applications, such as anomaly detection, synthetic data creation, and data compression.Image by Author.Knowing the underlying (probability) distribution of your data has many modeling advantages. The easiest manner to determine the underlying distribution is by visually inspecting the random variable(s) using a histogram. With a candidate distribution, a Pareto plot, Probability Distribution Function plot (PDF/CDF), and QQ plot…