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Scientist Vs ML Engineer\n- Tensors\n- Installing Anaconda\n\n#### ML Metrics\n- Regression Metrics\n- Classification Metrics\n\n#### End-to-End Project\n\n### **Module-6 Maths for Data Science**\n\n#### Advanced Statistics\n\n- Population and Sample\n- Normal Distribution\n- Standard Normal Variate and Standardization\n- KDE\n- Central Limit Theorem\n- QQ Plot\n- Probability Distributions\n- Co-variance \u0026 Pearson Correlation\n- Confidence Interval\n- Hypothesis Testing\n\n#### Probability\n\n#### Calculus\n\n#### Linear Algebra\n\n### **Module-7 Machine Learning Algorithm**\n\n#### Linear Regression\n\n#### Gradient Descent\n\n#### Logistic Regression\n\n#### SVM \u0026 SVR\n\n#### Naive Bayes\n\n#### KNN\n\n#### Decision Trees\n\n#### Random Forest\n\n#### Bagging Ensemble\n\n#### Adaboost\n\n#### Gradient Boosting\n\n#### XgBoost\n\n#### PCA\n\n#### K-Means\n\n#### Hierarchical Clustering\n\n#### DBSCAN\n\n#### T-sne\n\n### **Module-8 Practical Machine Learning**\n\n#### Bias Variance Trade-off\n\n#### Regularization\n\n#### Cross Validation\n\n#### Working with Missing Data\n\n#### Feature Scaling\n\n#### Feature Encoding\n\n#### Feature Transformation\n\n#### Pipelines\n\n#### Date and Time\n\n#### Outliers\n\n#### Feature Construction\n\n#### Feature Selection\n\n#### Model Tuning\n\n#### Imbalanced Datasets\n\n#### Multicollinearity\n\n#### Data Leakage\n\n#### Working with large dataset\n\n### Module-9 **Model Production and Deployment**\n\n#### Details to be updated soon! \n\n### Module-10 **End to End Case Study/Projects** \n\n#### Details to be updated soon! \n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fribtas007%2Fcampusx_ds","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fribtas007%2Fcampusx_ds","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fribtas007%2Fcampusx_ds/lists"}