Transforming raw signal data of smartphone accelerometer and creating new features from it for identifying six common human activities.

Photo by Jan Huber on Unsplash

Objective

In this article, we will be exploring different techniques to transform the raw time-series data and extract new features from it.


In this article, I have demonstrated how to use Python for plotting and visualizing Bollinger Bands® and derive insights from it.

What are Bollinger Bands®

​Understanding Bollinger Bands®


Complex ensembles and Neural networks are all good, but sometimes simple linear models with right featurization techniques can do wonders. In this article, I’ll be sharing my approach that I used to predict the tags of Research articles.

Problem Statement


Moving averages are commonly used in technical analysis of stocks to predict the future price trends. In this article, we’ll develop a Python script to generate buy/sell signals using simple moving average(SMA) and exponential moving average(EMA) crossover strategy.

Photo by NICHOLAS CAPPELLO on Unsplash


Fetching the latest Statewise data of COVID-19 cases from the official website of Ministry of Health and visualizing it using Python libraries.

Photo by Patrick Assalé on Unsplash


How to use Python libraries like Pandas, Matplotlib and Seaborn to derive insights from daily price-volume stock market data.

1. About data

  • HDFC Ltd.
  • Sun Pharmaceutical Industries Ltd.
  • Tata Consultancy Services Ltd.
  • Jindal Steel & Power Ltd.
  • Jubilant FoodWorks Ltd.


A complete guide on how to perform Exploratory Data Analysis and derive insights from it.

Photo by Caroline Rccrd on Unsplash

What is Exploratory Data Analysis ?

Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for…


In this article, I’ll introduce you to the 15 common terms associated with the financial markets and the related concepts that every budding investor should know.

Photo by rawpixel.com from Pexels

1. Public Company vs. Private Company

2. Stocks and Shares


How to perform Data analysis and visualization on Iris flower data set using Pandas, Matplotlib and Seaborn libraries of Python.

Image credits: Principal Component Analysis by Sebastian Raschka

What is Exploratory Data Analysis?

About Iris Data set

Pratik Nabriya

I’m passionate about using Statistics and Machine Learning on data to make Humans and Machines smarter. LinkedIn: linkedin.com/in/pratiknabriya/

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