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Hey Shreya, Itโs commendable that youโre proactive and seeking guidance to enhance your skills in AI and data science. Focus on building a solid foundation. Understand core concepts in mathematics (linear algebra, calculus, probability), statistics, and programming (Python or R). Strengthening these basics will serve as a strong platform for advanced topics. R is another valuable language for statistical analysis and data visualization. Familiarize yourself with its syntax and packages.
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Hi Everyone I'm a data analyst with 9 months of hands-on experience, skilled in Power BI, MySQL, Advanced Excel, and Tableau. I specialize in data visualization, statistical analysis, and reporting. I'm currently looking for a new opportunity in the
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Hi everyone! ๐ Introduction: I'm Shraddha Saraswat, a dedicated Data Analyst with a strong background in data collection, cleaning, analysis, and visualization. I am currently exploring new opportunities to leverage my skills and expertise. ๐ Pro
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The ultimate AI/ML roadmap for beginners ๐ ๐ ๐ฎ๐๐ต๐ What to learn: โข Linear Algebra โข Calculus โข Statistics Resources: โข Practical Statistics for Data Science( https://amzn.to/446czl5 ) โข Mathematics for Machine Learning( https://amzn.to/441s
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ExcelR's Data Analyst Course provides a robust curriculum designed to equip you with the essential skills for a successful career in data analysis. Dive into key concepts such as data manipulation, statistical analysis, and visualization techniques u
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StockWise: Unlocking Seasonal Stock Trends with Data Science StockWise is a data-driven stock market research startup focused on identifying seasonal stocksโstocks that consistently exhibit 20-30% price movements in specific months over a decade or
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Hi everyone , if you are a beginner in Data Science or wish to start , then this post is for you. Linear Regression is one of the first things you need to learn in ML. It is not just about the code . Code is not the important thing, you can make Chat
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