5 ways to apply an IF condition in pandas DataFrame

from Need to apply an IF condition in Pandas DataFrame? If so, in this tutorial, you’ll see 5 different ways to apply such a condition. Specifically, you’ll see how to apply an IF condition for: Set of numbers Set of numbers and lambda Strings Strings and lambada OR condition Applying an IF condition in Pandas DataFrame… Continue reading 5 ways to apply an IF condition in pandas DataFrame

NPS : Net Promoter Score چیست و به چه کار آید؟!

NPS (Net Promoter Score) یکی از شاخص های کلیدی عملکرد در CRM است که به طور ویژه‌ای مورد توجه متخصصان مدیریت ارتباط با مشتری قرار می‌گیرد. این شاخص به شکلی غیرمستقیم، رضایت و وفاداری مشتریان یک کسب و کار را می‌سنجد

شروع با گیت

منبع منبع اصلی در حال حاضر گیت یکی از محبوب‌ترین سیستم‌های کنترل نسخه در بین توسعه‌دهندگان است. می‌توانید با استفاده از گیت تغییرات را دنبال کنید و پروژه‌ها را با چندین توسعه‌دهنده دیگر هماهنگ نمایید. پروژه‌های متن باز نیست اکثرا از گیت استفاده می‌کنند، می‌توانید آن‌ها را روی گیت‌هاب، گیت‌لب و یا Bitbucket مشاهده کنید.… Continue reading شروع با گیت

Practical RFM analysis to increase repeat sales

from This method as the easiest way to visualize the behavior of the clients is important.   Numbers mean nothing if they do not change our actions tomorrow.Twit it This time I will share with you the experience and tips how to benefit from RFM even without a three-year sales history. We provided the RFM… Continue reading Practical RFM analysis to increase repeat sales

Anomaly Detection

Introduction: Anomaly Detection From Anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior, called outliers. It has many applications in business, from intrusion detection (identifying strange patterns in network traffic that could signal a hack) to system health monitoring (spotting a malignant tumor in an MRI scan),… Continue reading Anomaly Detection

Multiple Linear Regression

from here We just performed linear regression in the above section involving two variables. Almost all the real-world problems that you are going to encounter will have more than two variables. Linear regression involving multiple variables is called “multiple linear regression” or multivariate linear regression. The steps to perform multiple linear regression are almost similar… Continue reading Multiple Linear Regression

A beginner’s guide to Linear Regression in Python with Scikit-Learn

from here There are two types of supervised machine learning algorithms: Regression and classification. The former predicts continuous value outputs while the latter predicts discrete outputs. For instance, predicting the price of a house in dollars is a regression problem whereas predicting whether a tumor is malignant or benign is a classification problem. In this… Continue reading A beginner’s guide to Linear Regression in Python with Scikit-Learn