Sentiment Analysis
Sentiment analysis is the process by which all of the content can be quantified to represent the ideas, beliefs, and opinions of entire sectors of the audience. The implications of sentiment analysis are hard to underestimate…
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Data Science and Data Engineering
Data science and data engineering are two different branches of big data paradigm – an approach in which enormous speeds, varieties and volumes of structured, unstructured and semi-structured data are captured, processed, stored and analyzed…
NLP Tutorial
Natural Language Processing (NLP) consists of developing applications and services capable of understanding human languages. Some practical examples of NLP are speech recognition, for example, Google voice search, understanding content or analyzing feelings, etc. Use…
Network Security with Machine Learning
The most likely way for attackers to gain access to your infrastructure is through the network. Network security is the general practice of protecting computer networks and devices accessible to the network against malicious intent,…
Machine Learning Algorithms
No discussion of machine learning would be complete without a section devoted to Machine Learning Algorithms. Algorithms are a set of instructions for a computer on how to interact with, manipulate and transform data. What…
Machine Learning in Finance
Due to the affordable computing power and the importance of data in decision making Machine Learning in Finance is getting very useful to make financial and investment decisions with great accuracy. The use of Machine…
LSTM in Machine Learning
The LSTM Network model stands for Long Short Term Memory networks. These are a special kind of Neural Networks which are generally capable of understanding long term dependencies. LSTM model was generally designed to prevent…
What is Data Mining?
The combined knowledge of statistics, data mining, and machine learning plays a major role in understanding the data and describing the data features to find the relationships and patterns between the data so that we…
Scrape Wikipedia With Python
Wikipedia is one of those largest platforms which provides almost every information for free. From your kindergarten till today, you must have visited this platform atleast once to get any information from school presentations to…
Translate Using Python
Have you ever tried to translate any text using google, it’s straightforward and helpful to do so when I used to study the German Language google helped me alot in my homework. Do you know…
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…
Candlestick Chart with Python
Candlestick Chart is a powerful way to visualize the trends and changes in the stock market and other financial instruments. Most people use a Candlestick chart to visualize the trading patterns. This article will take…
Stock Price Prediction with Facebook Prophet Model
Stock Price Prediction means to determine the future value of the stocks or other financial instruments of an organisation. If you master the art to predict stock prices, you can earn a lot by investing…
What is Big Data?
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…
OOP for Machine Learning
The Classes in Python are the main tool used for Object-Oriented Programming (OOP). A Class is a coding structure and a specific tool to implement new kinds of objects in Python that supports inheritance. OOP…
Web Scraping to Create CSV
Web Scraping means to collect data from the Internet. As a beginner in data science, you must have seen CSV files on the Internet distributed by some popular websites like Kaggle and other govt websites.…
How to Start with Machine Learning?
When most people hear Machine Learning, they picture a robot, a dependable butler or a deadly Terminator, depending on who you ask. But Machine Learning is not just a futuristic fantasy; it’s already here. It…
Evaluate a Machine Learning Model
When you make an accurate prediction using your trained Machine Learning model, then the next step is often to measure the performance of your model. Data Scientists and other Machine Learning Experts spend a larger…
AdaBoost Algorithm
AdaBoost Algorithm is a boosting method that works by combining weak learners into strong learners. A good way for a prediction model to correct its predecessor is to give more attention to the training samples…
WhatsApp Group Chat Analysis
So I am a part of a WhatsApp group named as “Data Science Community”, recently I thought to explore the chat of this group and do some analysis on it. So, here in this article,…