🎓 Successfully completed the 72-hour "Hands-On Workshop on Machine Learning and Deep Learning"!
From data preprocessing to model evaluation, from machine learning algorithms to deep learning architectures, it was an intensive and comprehensive training packed with both theoretical foundations and practical applications.
🔍 What did we cover?
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Critical preprocessing steps such as handling missing values, outliers, data transformations, and balancing techniques
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Clustering and dimensionality reduction methods like K-Means, DBSCAN, PCA, and t-SNE
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Core machine learning algorithms including Logistic Regression, Decision Trees, Random Forests, KNN, SVM, and Naive Bayes
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Evaluation metrics like ROC-AUC, Confusion Matrix, and F1-Score
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A solid introduction to deep learning architectures: ANN, CNN, RNN, LSTM, and GRU
At every step, the focus wasn't just on how to apply a method, but why and when to use it—making the learning experience much more meaningful and lasting.
📌 A huge thank you to our instructor Ozan Alptekin and all fellow participants who turned this journey into a collaborative and insightful experience through discussions, hands-on practice, and shared learning.
📍 Special thanks to Bilim Yunusemre for hosting,
📍 and BTK Akademi for making this opportunity possible.
🚀 Looking forward to applying these insights in future projects!
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