Rohan KumarinAnalytics VidhyaBuilding and Using a Convolutional Neural Network (CNN) for Image Classification with Keras and…Convolutional Neural Networks (CNNs) are a powerful type of deep learning architecture excelling at image recognition and classification…8 min read·Mar 19, 2024----
Rohan KumarinAnalytics VidhyaDockerizing a Basic Django App on macOS: Step-by-Step GuideIn this guide, I’ll walk you through dockerizing your Django application alongside a MySQL database. Docker simplifies deployment by…7 min read·Mar 14, 2024----
Rohan KumarinAnalytics VidhyaHow to Build Stock Technical Indicators with PythonHello again! I am back with another important article on stock analysis, I know ya’ll are enjoying my stock analysis series will be posting…7 min read·May 22, 2021--1--1
Rohan KumarinAnalytics VidhyaAlgorithmic Trading in Python: RSIHere’s another one! in my Python for stock analysis. Hope ya’ll like this! For a more complete stock analysis go onto my article:4 min read·May 19, 2021--1--1
Rohan KumarinAnalytics Vidhya3 Steps to get you started in Stock Market Analysis in PythonWe’ll analyze MSFT stock in Python, calculate some basic Trading Indicators and plot the OHLC chart.4 min read·Apr 13, 2021----
Rohan KumarHow to install TA-LIB in PythonHere, I will help to install TA-LIB on your PC/Laptop. It should be easy going for y’all!1 min read·Apr 13, 2021----
Rohan KumarinAnalytics VidhyaPython for stock analysisIn this project, we’ll analyse data from the stock market.9 min read·Feb 25, 2021--1--1
Rohan KumarinAnalytics VidhyaPredicting Stock Prices Using Facebook’s Prophet ModelFacebook’s Prophet3 min read·Feb 22, 2021--3--3
Rohan KumarinAnalytics VidhyaTime-Series Forecasting: Predicting Microsoft (MSFT) Stock Prices Using ARIMA ModelAfter largely successfully LSTM Model, lets try to recreate that success with an ARIMA Model. First a little about Time series and then…3 min read·Feb 19, 2021--1--1
Rohan KumarinAnalytics VidhyaProcessing Large Data with Dask DataframeAt work we visualise and analyze typically very large data. In a typical day, this amounts to 65 million records and 20 GB of data. The…3 min read·Feb 10, 2021----
