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+# This what I have learned From Module 2
+
+
+
+## On module 2 I have learned these bascis
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+
+- 1. Supervised Learning
+- 2. Unsupervised Learning
+- 3. Regression Problem
+- 4. Classification Problem
+- 5. Performance Measure
+- 6. Linear Regression
+
+
+# And learned avout some algorithms foundation like random forest, liear rigression, KNN, K-means, etc
+
+
+
+## On Supervised Learning I got the info from this module
+
+
+- Expert System.
+- Training DataSet.
+- Validation DataSet.
+- Test DataSet.
+- Target Variable.
+- Classification.
+- Regression.
+- Feature.
+
+
+## On Unsupervised Learning
+
+
+- Clustering
+- Hierarchical clustering
+
+
+## On Classification Problem
+
+
+- Logistic Regression
+- Naive Bayes Classifier
+- K-Nearest Neighbor
+- Decision Tree
+- Random Forest
+- Support Vector Machines
+
+
+And also I have learned much more thing about Classification Problem Evaluation Metrics, Concrete Compressive Strength Prediction using Machine Learning, etc.
+
+
+
+Contact Info
+
+
+- Name: Saad Bin Manjur Adit
+- Email:saadbinmanjuradit@gmail.com