As 2025 approaches, Iโm diving into the world of ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐, and thereโs no better way to begin this journey than mastering Python! This week, I focused on building a solid foundation in Python, with an emphasis on data analysis and key libraries like NumPy, Pandas, and Matplotlib.
I kicked off the week with two foundational courses from Datacamp. Their bite-sized videos and hands-on coding sessions made the learning process engaging and effective. To put my knowledge to the test, I completed a project titled โ๐๐ง๐ฏ๐๐ฌ๐ญ๐ข๐ ๐๐ญ๐ข๐ง๐ ๐๐๐ญ๐๐ฅ๐ข๐ฑ ๐๐จ๐ฏ๐ข๐๐ฌโ, which gave me valuable insights into data analysis techniques.
Impressed by the versatility of Pandas, I decided to deepen my understanding by completing the โ๐๐๐ญ๐ ๐๐๐ง๐ข๐ฉ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐๐ง๐๐๐ฌโ course, followed by another project, โ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐ข๐ง๐ ๐๐๐ ๐๐ฎ๐๐ฅ๐ข๐ ๐๐๐ก๐จ๐จ๐ฅ ๐๐๐ฌ๐ญ ๐๐๐จ๐ซ๐ ๐๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌโ. This project was an incredible learning experience, reinforcing my skills and helping me build โmuscle memoryโ with the library.
To wrap up the week, I took the โ๐๐ง๐ญ๐ซ๐จ ๐ญ๐จ ๐๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐งโ course, which covered foundational statistics concepts essential for machine learning. I explored measures of central tendency and variability, techniques to identify outliers, probability distributions (discrete, continuous, binomial, normal, Poisson, and more), and advanced topics like the central limit theorem, correlation, and experiment design.
These courses and projects have sparked a deeper interest in working with data. With this solid foundation, Iโm excited to kick off the new year by delving into core machine learning topics like supervised and unsupervised learning, followed by more advanced areas.
If youโre interested, you can find my project codes on GitHub and in my DataCamp portfolio: https://www.datacamp.com/portfolio/abrar03
Iโd love to hear your plans for 2025! ๐ฏ Are you focusing on any particular skills or projects? Any advice for my journey would be greatly appreciated ๐.
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