Code Repository and data for DS program
Refer the folder as below
Session 1 - learn-python3-master.zip
Session 2 - Data & Notebooks
Session 3 - Linear Regression notebook + data
Session 5 - SQL_For_DS
Session 6 - Case Study : Data Science Program(Doubt Clarification Session)
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The Case study is to predict Next day stock price [Adj Close Price] using regression analysis We will be using Nifty 50 data('^NSEI.csv') as source data for this case study You need to generate technical indicators as given below as features for converting Time Series to Supervised Learning Problem.
• Moving Averages (Example Given : 3Period Moving Average (3MA)
• Previous Day Returns
• Relative Stock returns
Metric for Model Evaluation will be-RMSE
Please find attached skeleton Jupyter notebook code and required data as attached and follow the instructions given in notebook to solve this case study. Share your questions/queries regarding case study on crisbuzz data science group.Trainers will answer your questions there.
All the best!