Hey there! 👋 I just completed the #100DaysOfMLCode challenge, and I’m thrilled to share my journey from being a confused student to a confident coder.
When I started, I knew very little about Machine Learning, but I was determined to stay consistent and learn as much as I could. Over the 100 days, I learned about Supervised Learning, including Linear and Logistic Regression, Decision Trees, and KNN. I also got familiar with NumPy, Pandas, Matplotlib, and scikit-learn.
The most exciting part was building projects like a Spam Classifier, Parkinson’s Disease Detector, and Sales Analyzer. I learned to debug, fail, and try again, and now I’m way more confident in my skills.
A huge shoutout to CampusX’s YouTube series and the awesome ML community that kept me motivated. If you’re starting your ML journey, I’m cheering for you! 💪 Let’s keep learning.
Next up, I’m looking forward to exploring Deep Learning and building GenAI apps.