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Tesla Stock Analysis With Python.

Stocks are one of most important vehicle of investment. Stocks are always varying and are determinded by so many direct and indirect variables in the investment world. I have brought the data analysis project as simple analysis of Tesla stocks. Tesla or Tesla incorporation is one of leading company in the field of technology which has many products which include electric cars, battery energy storage from home to grid scale, solar products and related products and services. Here in this project stock analysis is done by taking reference of 5 year stock trading record of Tesla Inc. where we load and read the data , clean and prepare it for further analysis and visually represent data using different techniques with pandas and seaborn libraries.

As a first step, let's upload our Jupyter notebook to Jovian.ml.

project_name = "tesla-stock-analysis" 
!pip install jovian --upgrade -q
import jovian
jovian.commit(project=project_name, files = ["TSLA2015-2020.csv"])
[jovian] Attempting to save notebook.. [jovian] Updating notebook "jaycessunuwar/tesla-stock-analysis" on https://jovian.ml/ [jovian] Uploading notebook.. [jovian] Capturing environment.. [jovian] Uploading additional files... [jovian] Committed successfully! https://jovian.ml/jaycessunuwar/tesla-stock-analysis