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Dhiwakar S On Linkedin Pandas Power Matplotlib Google "this course spans one week and covers three distinct topics: power bi, pandas, matplotlib, and some other basics. pandas is taught using both vs code and google colab. • tools used: python (pandas, numpy, matplotlib, seaborn). • developed a regression based salary prediction model using historical experience data. • implemented linear and polynomial.

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Jp Owed On Linkedin Pandas Matplotlib Visualization Aspiring data scientist and ai engineer with 2 years of professional experience as a full stack and power bi developer. i’m actively seeking opportunities in data science, data engineering,. I’m a certified and project proven data science professional with a strong foundation in statistics, machine learning, and business analytics. i bring hands on experience building predictive models. "this course spans one week and covers three distinct topics: power bi, pandas, matplotlib, and some other basics. pandas is taught using both vs code and google colab. New project completed: google stock price analysis i recently worked on analyzing google (goog) stock data (from 2004 onwards) using python, pandas, and matplotlib. this project helped me sharpen. I am skilled in tools like pandas, numpy and power bi, with expertise in data cleaning, feature engineering, and eda. i am focused on applying my skills to solve real world problems and derive. Currently, i am enhancing my skills in python full stack development with a focus on data analysis, working with libraries like pandas, numpy, matplotlib, and seaborn for data manipulation and.