Ramgopal Prajapat:

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Emotion Detection from Text Ram - Nov 23, 2020
Emotion is a complex state of feeling that influences physical and psychological changes. Emotions can be expressed verbally (through words, emojis, or speech - tone of voice) or by using nonverbal expressions such as facial expressions. There are different models to define the type of emotions. 6 basic type of …
Optimization using Python: Linear Programming with example Ram - Nov 09, 2020
In the scenario, there are 64 different foods and their various nutrient contents and calories. Also, the price of each of these food items. We can want to formulate this as a diet optimization problem and find the optimal size of the food intake. A typical optimization scenario will have …
Precision vs Recall in Binary Classification Ram - Nov 06, 2020
In Machine Learning Classification Scenario (especially Binary Classification) various model performance measures are used. In this, we are discussing Precision and Recall with relevant scenarios and examples. In which scenario Precision is more important than Recall and vice versa?
Missing value treatment for Categorical and Numeric Variables using Python Ram - Nov 06, 2020
Missing values are common in real-life scenarios. All of the data science and analytics professionals need to understand strategies to manage missing values. In this blog, we will discuss missing value identification, treatment, and imputation. After reading the blog you will be able to answer these questions. How to identify …
Recommendation Engine - Questions Ram - Oct 31, 2020
Recommendation Engine is one of the commonly used Machine Learning/AI approach. Some of the interesting questions related to Recommendation Engine.
Movie Recommendation - Content-Based Filtering Ram - Oct 30, 2020
We spend a lot more time exploring various things on the web. Be it exploring products, interacting with friends & family over social media platform, watching movies on Netflix, or listening to music. And these platforms have huge options to deliver to their users. These platform aims to deliver personalized …
Customer Life Time Value: Questions Ram - Oct 23, 2020
CLTV is an interesting concept and used across industries. We have created a list of questions that can help you validate your concepts and motivate you to think of various dimensions from an implementation perspective.
CLTV using RFM and Probability Models Ram - Oct 23, 2020
Customer Life Time Value is a measure of customer value to a firm. The customer value helps align acquisition costs with long-term value generation instead of revenue and/or volume and prioritize the focus toward retention on the highest potential CLV increase