Top 10 books to read for machine learning for absolute beginners | Purchase online from the provided link.

In this article, I have enlisted the most popular books on Machine Learning and Python. These books are selected and recommended after reviewing the feedback of the readers from the various platforms Top 10 Books for beginners Machine Learning Machine Learning using Python Core Python Programming Storytelling with Data: A Data Visualization Guide for Business … Read more

Natural Language Processing in Python. Implementation code is also provided.

 Natural Language Processing (or NLP) is an applying Machine Learning models to text and language. Teaching machines to understand what is said in the spoken and written word is the focus of Natural Language Processing. Whenever you dictate something into your iPhone / Android device that is then converted to text, that’s an NLP algorithm … Read more

Data Prediction using Logistic Regression | Code is written in Python.

What is Logistic Regression? Logistic regression models the probabilities for classification problems with two possible outcomes. Here in this tutorial, we are performing prediction using Logistic Regression. The dataset contains three columns: Age, EstimatedSalary and Purchased. We will train our model using this dataset and consequently make the prediction. The model will take the input as … Read more

Explaining Multiple Linear Regression with example. | Download project in Python code.

 Prediction through Multiple Linear Regression based Model In this post, we are performing prediction through the use of Multiple linear regression. For implementing MLR (Multiple Linear Regression), we have collected the dataset consisting of 5 columns: R&D Spend, Administration, Marketing Spend, State and Profit. Here in the example, we are predicting Profit by considering other … Read more

Explaining Simple Linear Regression with example. | Download project in Python code.

 Prediction through Simple Linear Regression based Model In this post, we are performing prediction through the use of simple linear regression. For implementing SLR (Simple Linear Regression), we have collected the dataset consisting of two columns: Salary and Experience. Here in the example, we are predicting Salary by considering experience. For achieving the prediction, the following … Read more

Difference difference between machine learning and deep learning with examples.

Machine Learning In the modern era, a huge number of data is being increased exponentially minute after minute. At that instance machine learning techniques can be exploited to mine the information from an abundant amount of data. For instance, two or more persons talking openly on the web through text. Here machine learning techniques can … Read more

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