Role of Analytics In An Organization

The role of Analytics in an Organisation has completely changed over the years. Earlier the higher-level officers and Board Members used to make the most decisions based on their experience and knowledge. But now the statistics and historical performance are used in the form of Analytics to make the major decisions in an Organisation.

WhatsApp Group Chat Analysis

If you don’t know how to extract the messages from any chat then just open any chat click on the 3 dots above, select more and then select explore chat.

Machine Translation Model | Data Science | Machine Learning | Python

Machine Translation is one of the most challenging tasks in Artificial Intelligence that works by investigating the use of software to translate a text or speech from one language to another. In this article, I will take you through Machine Translation using Neural networks.

Sentiment Analysis with Machine Learning

Sentiment analysis is the process by which all of the content can be quantified to represent the ideas, beliefs, and opinions of entire.

What is Data Mining? | Data Science | Machine Learning | Python

The combined knowledge of statistics, data mining, and machine learning plays a major role in understanding the data and describing the data.

Dictionary in Python | Data Science | Machine Learning | Python

A dictionary is an example of a key-value store also known as Mapping in Python. It allows you to store and retrieve elements by referencing a key. As dictionaries are referenced by key, they have very fast lookups. As they are primarily used for referencing items by key, they are not sorted.

Loops in Python | Data Science | Machine Learning | Python

As one of the most basic functions in programming, loops are an important piece to nearly every programming language. Loops enable developers to set certain portions of their code to repeat through several loops, referred to as iterations. This topic covers using multiple types of loops and applications of loops in Python

What is Deep Learning? | Data Science | Machine Learning

Deep learning is a subset of Artificial Intelligence, which is an area that relies on learning and improving on its own by examining computer.

Scrape Wikipedia With Python

Python being a general-purpose programming language provides packages for almost every task. So we have a package named as wikipedia for Python which we can use to scrape Wikipedia articles using Python.

Visualize Geospatial Data | Data Science | Machine Learning | Python

Python has so many packages to visualize geospatial data. My favourite is Folium. In this article, I'll walk you through how to visualize. Geospatial data shows a number of interesting features. Interactive visualization of geospatial data can provide a wealth of information about the data and area and much more functionality in the data.

What is Big Data? | Data Science | Machine Learning | Python

Big data plays a major role in training a machine learning model, which can be used with thousands of data points. An organization competing.Big Data is a type of data that is in a huge quantity and is still growing rapidly. It is so large and complex that it is impossible to manage it using the traditional ways of computing and to store it to process it effectively and efficiently. Machine Learning is used to process and understand big data as the accuracy of Machine Learning models increases if trained using such amount of information.

Testing and Validation of a Model | Data Science | Machine Learning

Testing and Validation are the only way to know how well a model will generalize to new cases is to actually try it out on new cases. One way to do that is

Data Types in Python | Data Science | Machine Learning | Python

Data types are variables that are used to store values. In Python, variables do not need a pre declaration; the declaration of variables in Python happens

AdaBoost Algorithm | Data Science | Machine Learning | Python

A good way for a prediction model to correct its predecessor is to give more attention to the training samples where the predecessor did not fit well.

OOP for Machine Learning | Data Science | Machine Learning | Python

The use of OOP is entirely optional in Machine Learning as we already have libraries like Scikit-learn and TensorFlow from where we can easily use algorithms.

Machine Learning Algorithms That Are Mostly Used

Machine Learning Algorithms helps us in providing mathematical equations which help in predicting the future by using the past behaviour of

Random Forest Algorithm | Data Science | Machine Learning | Python

The Random Forest algorithm is an ensemble of the Decision Trees algorithm. A Decision Tree model is generally trained using the Bagging Classifier.

Ridge Regression in Machine Learning | Data Science | Python

The Ridge Regression is a regularized version of a Linear Regression. The Ridge Regression enables the machine learning algorithms to not only fit the data.

ROC Curve in Machine Learning | Data Science | Python

The Receiver Operating Characteristic (ROC) curve is a very common tool used with binary classifiers. It is very similar to the precision/recall curve.

OpenAI Gym in Machine Learning | Data Science | Python

OpenAI Gym is a toolkit that provides a wide variety of simulated environments (Atari games, board games, 2D and 3D physical simulations, and so on).