MonekaWeek-5: — Mastering Data Preprocessing: Strategies for Missing Data, Encoding, Scaling, Outliers…Handling Missing Data, Encoding Categorical Variables, Scaling Features, Outlier Detection, Imputation, Feature Engineering, TransformationSep 21Sep 21
MonekaWeek-6: Mastering Classification Algorithms & Performance Evaluation MetricsDelving deeper into machine learning, specifically working with classification algorithms and evaluating metricsSep 21Sep 21
MonekaWeek-7 — Clustering Techniques: A Comparative AnalysisClustering Algorithms: K-Means and HierarchicalSep 19Sep 19
MonekaThe Future of Fashion: AI Recommendations with TrendyFashionFusionIn today’s e-commerce landscape, personalization is key to delivering an exceptional user experience. A well-built product recommendation…Sep 16Sep 16
Moneka📚Book Recommendation SystemImagine a personal librarian who knows exactly what you’re in the mood to read — every time. Our Book Recommendation System makes that…Aug 19Aug 19
Moneka⚽Sports Match Outcome Prediction Using Team Statistics: A Statistical ApproachDuring this final week of the first month, specifically on the 4th, everyone has been assigned their first project. Each project requires…Jul 16Jul 16
MonekaWeek-3 —This is a task to improve skills in the field of regression models. The purpose of the task is as follows:Jul 15Jul 15
MonekaWeek2 — Foundational Machine Learning, Regression, and Classification: From Dataset Loading to…Hello! In my previous weekly blog, I explored a range of Python tasks spanning from fundamental concepts to intermediate levels. In this…Jul 10Jul 10