In a nutshell, logistic regression is multiple regression but with an outcome variable that is a categorical dichotomy and predictor variables that continuous or categorical. In pain English, this simply means that we can predict which of two categories a person is likely to belong to given certain other information.Example: Will the Customer Leave the Network?This example is … [Read more...] about LOGISTIC REGRESSION
Machine Learning
Data Preprocessing Concepts with Python
A robust method to make data ready for machine learning estimatorsData Preprocessing Methods. A photo by AuthorIn this article, we will study some important data preprocessing methods. It is a very important step to visualize the data and make it in a suitable form so that the estimators (algorithm) fit well with good accuracy.Topics to be covered:StandardizationScaling with … [Read more...] about Data Preprocessing Concepts with Python
What is big data and how it is linked with our daily life
Currently, this generation of information technology represented by big data, the Internet, and artificial intelligence is developing vigorously, and has a huge and far-reaching impact on social progress, national economic development, and people’s lives.What is big dataIn May 2011, the McKinsey Institute issued an announcement-Big data the next frontier for innovation, … [Read more...] about What is big data and how it is linked with our daily life
Why data trust is important in the era of big data
Currently, the value of data has been recognized and valued by society. The value generated by the aggregation and processing of massive data drives the in-depth development of the digital economy. Data deserves its name as a new production factor. However, there is a well-known paradox between data sharing and data privacy. Data sharing has brought about the problem of data … [Read more...] about Why data trust is important in the era of big data
Install Carla Simulator in Ubuntu 18.04
We will be installing the simulator using a docker image as it provides an easier and faster setup process. Note that this is intended for users who don’t care about the internals of Carla and just wish to run it stress-free. If on the other hand you wish to do a full linux build please see the official docs.Setup repository + Docker engine installationThe installation of … [Read more...] about Install Carla Simulator in Ubuntu 18.04
Stock Price Analysis via Python using Hindustan Unilever Limited Dataset 2
4. We had created a Trend column in module 1. We want to see how often each Trend type occurs. This can be seen as a pie chart, with each sector representing the percentage of days each trend occurs. Plot a pie chart for all the ‘Trend’ to know about the relative frequency of each trend. You can use the groupby function with the trend column to group all days with the same … [Read more...] about Stock Price Analysis via Python using Hindustan Unilever Limited Dataset 2
How to Install and Manage Multiple Python Versions on Linux
Next Steps:This article is part of a mini-series that helps readers set up everything they need to start learning about artificial intelligence, machine learning, deep learning, and or data science. It includes articles that contain instructions with copy and paste code and screenshots to help readers get the outcome as soon as possible. It also includes articles that contain … [Read more...] about How to Install and Manage Multiple Python Versions on Linux
Top Machine Learning Institute in Faridabad
Top Machine Learning Institute in Faridabad, Are you looking for the Best Machine Learning Courses in Faridabad? In case you are, then you will be happy to know that there are many schools, both online and campus-based, which offer the Top Machine Learning Courses in Faridabad. So, how can you find the Best Machine Learning Institute in Faridabad? The following tips and … [Read more...] about Top Machine Learning Institute in Faridabad
Notes to select optimizers for your Deep Learning models based on Sebastian Ruder’s article
Model is a function approximated by a neural network after training.To determine how good a fit is, loss function is used.When the model and loss function are combined we get an optimization problem.Objective function is a loss function in which the model is plugged in i.e., it is parameterized by model parameters.Optimization involves minimizing an objective/cost function with … [Read more...] about Notes to select optimizers for your Deep Learning models based on Sebastian Ruder’s article
Komputasi Tepi Bantu Lewati Kendala Transformasi Digital
ilustrasi edge computingTidak peduli di mana posisi perusahaan saat ini dalam tingkat pengadopsian teknologi industri 4.0 seperti otomasi dan pemeliharaan prediktif, amat penting bagi mereka untuk melihat ke depan dan fokus untuk memastikan ketahanan dan kelangsungan bisnis.Guna menjaga keberlangsungan bisnis di era normal baru, perusahaan perlu cepat beradaptasi, mengubah cara … [Read more...] about Komputasi Tepi Bantu Lewati Kendala Transformasi Digital