PinnedPratik NabriyainTowards Data ScienceFeature Engineering on Time-Series dataTransforming raw Signal data of a Smartphone Accelerometer for Human Activity RecognitionJun 29, 20216Jun 29, 20216
Pratik NabriyainDataDrivenInvestorBollinger Bands® for identifying overbought and oversold conditions in market— Python…How to use Python for plotting & visualizing Bollinger Bands® and derive insights from it.Jan 31, 2021Jan 31, 2021
Pratik NabriyainTowards Data ScienceGenerating Trade Signals using Moving Average(MA) Crossover Strategy — A Python implementationA Python program to generate buy/sell signals using Simple moving average(SMA) and Exponential moving average(EMA) crossover strategy.Aug 28, 20201Aug 28, 20201
Pratik NabriyainTowards Data ScienceTracking Coronavirus(COVID-19) Spread in India using PythonVisualizing Statewise break-up of COVID-19 cases using PythonMar 30, 20204Mar 30, 20204
Pratik NabriyainTowards Data ScienceData Analysis & Visualization in Finance — Technical Analysis of Stocks using PythonHow to use Python libraries like Pandas, Matplotlib and Seaborn to derive insights from stock market data.Feb 29, 20201Feb 29, 20201
Pratik NabriyainDataDrivenInvestorBeginner’s guide to Stock Market — Understanding the basic terminology15 common stock market terms and the associated concepts that every budding investor should know.Nov 29, 2019Nov 29, 2019
Pratik NabriyainAnalytics VidhyaExploratory Data Analysis: Uni-variate analysis of Iris Data setUnivariate Exploratory Data Analysis of Iris data set using Pandas, Matplotlib and Seaborn libraries of Python.Oct 9, 2019Oct 9, 2019