Loading
Machine Learning - Ability To Learn
Machine learning is a field of study in data science that gives computers the capability to learn without being exceptionally coded or programmed . It is amongst the most appealing technologies that one comes across in day to day life . As understood by the name ,it gives computers the ability to perform and makes it analogous to humans .
What is Support Vector Machine?
In this article, you will learn about Support Vector Machine.
Concept Of Machine Learning For Beginners
Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Machine Learning - Configuring Windows 10 PC To Run RevoScaleR Within Jupyter Notebooks
RevoScaleR library is a collection of portable, scalable, and distributable R functions for importing, transforming, and analyzing data at scale by Microsoft. In this article, we will look at how to configure Jupyter Notebook to use the library.
A Complete Python Pandas Tutorial
This is the fourth tutorial in the series. In this tutorial, we will be studying about pandas and its functionalities.
Six Types Of Regression | Detailed Explanation
In this article, we will learn and understand the six types of Regression
Prediction Using Supervised ML ( Prediction Of Marks )
In this article, we will learn about to predict using Supervised Machine Learning using Python.
Azure Machine Learning Studio
Azure Machine learning Studio is a cloud based integrated environment for developing Machine Learning solutions which combines no-code/low code and code first experiences for an inclusive data scientist platform.
Azure Machine Learning And Machine Learning Infrastructure Requirements
This article covers Azure machine learning, why to choose Azure ML, and machine learning infrastructure requirements.
Understanding Linear Regression using Python
In statistics, linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called a simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. In this article, you will learn how to implement linear regression using Python.
30 Days Of Python 👨💻 - Day 28 - ML And Data Science II
Learn the basics of scikit-learn by preparing heart disease data, training a RandomForestClassifier, and making predictions in Python.
Logistic Regression using Python
Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression). In this article, you will learn to implement logistic regression using python
Anytime Customer Support Using Artificial Intelligence Chatbot In Customer Service
This article focuses on the basic knowledge of the chatbot. It looks at how a rule-based chatbot, machine-learning chatbot, and AI chatbot work. We look at why we need chatbots for the customer service and how they process the customer queries. I've explained the work processing flow and architectural design of the chatbot. I've designed the pipe-and-filter pattern for the ML chatbot and explained the implementation of the framework using .NET in the provided link.
Statistical Inference For Machine Learning
AI is a multidisciplinary field that requires a range of skills in statistics, mathematics, predictive modeling and business analysis. An AI professional should feel at ease to build the algorithms necessary, work with various data sources and an innate ability to ask the right questions and find the right answer. This article helps layout the canvas on which the rest of the modules are built.
Spam Detection For Text Messages In ASP.NET Core Using ML.NET
In this article, we'll learn how ML.NET framework is used to build spam detection for text messages with a machine learning solution or model and integrate them into ASP.NET Core application.
Spam Detection For Text Messages In .NET Core Winform Using ML.NET Machine Learning
In this article, we'll learn how ML.NET framework is used to build spam detection for text messages with a machine learning solution or model and integrate them into .NET Core Winforms application.
Introduction to Statistics
This article gives a brief intro to statistics and how they apply to our day-to-day lives.
A Complete Python TensorFlow Tutorial
This is the eighth tutorial in the series. In this tutorial, we will be studying about Tensorflow and its functionalities. TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library and is also used for machine learning applications such as neural networks
A Complete Python MatPlotLib Tutorial
This is the sixth tutorial in the series. In this tutorial, we will be studying about matplotlib and its functionalities.
A Complete Python Scikit Learn Tutorial
This is the fifth tutorial in the series. In this tutorial, we will be studying about scikit-learn and its functionalities.
Setting Up First Machine Learning Environment Using Anaconda Navigator
Set up a machine learning environment with Anaconda Navigator and learn how to launch and run Python programs in Jupyter Notebook and Spyder.
Top 10 Most Popular Articles of Machine Learning
This article lists the top 10 most-read articles of machine learning category.
Machine Learning With SQL Server 2017 And Python
We will cover the steps for installing SQL Server 2017 in Windows system with Machine Learning Server (In-Database) with Python & R language. Then we call the Python scripts from SQL server and get SQL data from Python also. Later we create a machine learning model for SQL server and train the model with Python scripts. Finally, we will predict a result from sample data.
What Is ML.NET
Microsoft's machine learning platform is open source now. Learn what ML.NET is all about and how to use it in .NET Core 2.0.
Best Programming Language for Machine Learning
The top 10 machine learning languages in the list are Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, and Scala. Let's look best machine learning programming languages.
Machine Learning Models With C# - Part One
In this article, I would like to share some basic models of Machine Learning using C#
Understanding K-Means Clustering using Python the easy way
K-means clustering is a simple unsupervised learning algorithm that is used to solve clustering problems. It follows a simple procedure of classifying a given data set into a number of clusters, defined by the letter "k," which is fixed beforehand. In this article, we will learn to implement k-means clustering using python
Natural Language Processing
In this article, I will explain human-computer interactions and natural language processing.
Measures of Central Tendency in Statistics
In this article, we will cover the measures of central tendency and their significance.
Unsupervised Learning in Machine Learning (ML)📈📉
This article shows unsupervised learning topics in machine learning.
