Machine-Learning-With-Python-A-Real-Life-Example

Machine Learning With Python – A Real Life Example

In this article we are going to discuss machine learning with python with the help of a real-life example. Before we proceed towards a real-life example, just recap the basic concept of Linear Regression. Usually, Linear Regression is used for predictive analysis. It is a linear approximation of a fundamental relationship between two (one dependent …

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types of databases

What is database? 9 Different Types of Databases with Examples

What is database? A database is a repository, which effectively stores information, and this stored information can be retrieved by utilizing some particular programming language. A database is essentially an archive of information, which is formulated so as to help effective information storing. The database is a methodical gathering of information. Since open library stores …

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K Means Clustering Example in Python

What is Clustering & its Types? K-Means Clustering Example (Python)

Cluster Analysis Cluster is a group of data objects that are similar to one another within the same cluster, whereas, dissimilar to the objects in the other clusters. Cluster analysis is a technique used to classify the data objects into relative groups called clusters. Clustering is an unsupervised learning approach in which there are no …

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logistic regression python example

Logistic Regression (Python) Explained using Practical Example

Logistic Regression is a predictive analysis which is used to explain the data and relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables. It is mostly used in biological sciences and social science applications. For instance, predict whether received email is spam or not. Similarly, predict whether …

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imple & Multiple Linear Regression [Formula and Examples]

Simple and Multiple Linear Regression in Python

Generally, Linear Regression is used for predictive analysis. It is a linear approximation of a fundamental relationship between two or more variables. Main processes of linear regression Get sample data Design a model that works best for that sample Make prediction for the whole population Main uses of regression analysis Finding the strength of predictors …

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compare data science and machine learning

Compare Data Science and Machine Learning (5 Key Differences)

Even after years of schooling, there are most common confusion that some students still face is the basic variance between Data Science and Machine Learning while they are for the most part firmly interconnected but each has a separate determination. Numerous companies are being utilized these technologies due to their gigantic dimensions and progressively hoping …

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data science interview questions

42 Must Know Data Science Interview Questions and Answers

To get the Data Scientist job, you must have grip on practical as well as theoretical knowledge of data science. You should be fully prepared before going through interview. For your convenience, we have gathered 42 data science interview questions and their answers. These will enable you grab the basic concepts of data science. Further …

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statistics for data science (descriptive and inferential statistics)

Statistics for Data Science (Descriptive & Inferential Statistics)

Today we are going to discuss statistics for data science. Statistics plays a vital role in the life of a Data Scientist. It is one of the must-have skills for the Data Scientist. For example, descriptive statistics is required in data analysis. Here we are going to present the basic concepts of the main branches …

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