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This training program divided into 3 parts:\n\n1. Level-1 Productivity Enhancement tools\n2. Level-2 Problem Solving using Python\n3. Level-3 Machine Learning with Python\n\n## Level-3 Machine Learning with Python\n### Supervised Learning\n1. [Linear Regression Model Mathematically and using Sklearn](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Jan%2009%20(Linear%20Regression%20Model%20Mathematically%20and%20using%20Sklearn).ipynb)\n2. [Linear Regression Model by Spliting the data using Sklearn](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Jan%2010%20(Linear%20Regression%20Model%20by%20Spliting%20the%20data%20using%20Sklearn).ipynb)\n3. [Multi Linear Regression on Fuel Consumption Dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Jan%2024%20(Multi%20Linear%20Regression%20on%20Fuel%20Consumption%20Dataset).ipynb)\n4. [Polynomial Regression on Random Values](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Jan%2025%20Polynomial%20Regression%20on%20Random%20Values.ipynb)\n5. [Polynomial Regression on Boston Analysis](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Jan%2027%20Polynomial%20Regression%20on%20Boston%20Analysis.ipynb)\n6. [Multi Class classification using Logistic Regression on Iris Dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Jan%2028%20Multi%20Class%20classification%20using%20Logistic%20Regression%20on%20Iris%20Dataset.ipynb)\n7. [Binary Class classification using Logistic Regression on Titanic Dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2003%20%26%2004%20Binary%20Class%20classification%20using%20Logistic%20Regression%20on%20Titanic%20Dataset.ipynb)\n8. [Decision Trees on Birds dataaset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2010%20Decision%20Trees%20on%20Birds%20dataaset.ipynb)\n9. [Random Forest Ensemble Classifier on Diabetes Dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2012%20Random%20Forest%20Ensemble%20Classifier%20on%20Diabetes%20Dataset.ipynb)\n10. [SVC on Mushroom dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2017%20SVC%20on%20Mushroom%20dataset.ipynb)\n### Unsupervised Learning\n11. [KMeans Clustering on iris Dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2025%20KMeans%20Clustering%20on%20iris%20Dataset.ipynb)\n12. [Hierarchical Clustering on mall_customers dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2027%20Hierarchical%20Clustering%20on%20mall_customers%20dataset.ipynb)\n13. [Dimensionality Reduction (PCA \u0026 LDA) on Diabetes dataset](https://github.com/AnilKumarTeegala/APSSDC_Multi-Skill-Training-Program_VIEW/blob/master/Level3-Machine-Learning-Python/code/2020%20Feb%2029%20Dimensionality%20Reduction%20(PCA%20%26%20LDA)%20on%20Diabetes%20dataset.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanilkumarteegala%2Fmachine-learning-using-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanilkumarteegala%2Fmachine-learning-using-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanilkumarteegala%2Fmachine-learning-using-python/lists"}