https://github.com/anilkumarteegala/machine-learning-using-python

This repo contains the files created for machine learning using python
https://github.com/anilkumarteegala/machine-learning-using-python

apssdc classification engineering ipynb jupyter-notebook logistic-regression machine-learning machine-learning-algorithms mstp multi-skill-training numpy pandas polynomial-regression python3 sklearn

Last synced: 2 months ago
JSON representation

This repo contains the files created for machine learning using python

• Host: GitHub
• URL: https://github.com/anilkumarteegala/machine-learning-using-python
• Owner: AnilKumarTeegala
• Created: 2020-02-05T04:58:18.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2021-06-11T05:35:44.000Z (over 3 years ago)
• Last Synced: 2024-10-11T15:41:51.744Z (2 months ago)
• Topics: apssdc, classification, engineering, ipynb, jupyter-notebook, logistic-regression, machine-learning, machine-learning-algorithms, mstp, multi-skill-training, numpy, pandas, polynomial-regression, python3, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 69.2 MB
• Stars: 12
• Watchers: 2
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# APSSDC Multi-Skill Training Program

This repo contains the files created during the Multi Skill Training program. This training program divided into 3 parts:

1. Level-1 Productivity Enhancement tools

2. Level-2 Problem Solving using Python

3. Level-3 Machine Learning with Python

## Level-3 Machine Learning with Python

### Supervised Learning

1. [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)

2. [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)

3. [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)

4. [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)

5. [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)

6. [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)

7. [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)

8. [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)

9. [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)

10. [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)

### Unsupervised Learning

11. [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)

12. [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)

13. [Dimensionality Reduction (PCA & 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)