└── README.md /README.md: -------------------------------------------------------------------------------- 1 | ## 14 days Beginner Practical Guide of Machine Learning 2 | 3 | ##### Note : All Dataset you can find in github link 4 | 5 | | Date | Algorithm | Practical | 6 | | --------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | 7 | | **Day 1** | [How To Talk About Data in Machine Learning](https://machinelearningmastery.com/data-terminology-in-machine-learning/) | | 8 | | **Day 2** | [Principle That Underpins All Algorithms](https://machinelearningmastery.com/machine-learning-algorithms-mini-course/) | | 9 | | **Day 3** | [Parametric and Nonparametric Algorithms](https://machinelearningmastery.com/parametric-and-nonparametric-machine-learning-algorithms/) | | 10 | | **Day 4** | [Bias - Variance and the Trade-off](https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/bhattbhavesh91/bias_variance_example/blob/master/bias_variance_tradeoff.ipynb) | 11 | | | **Linear Algorithms** | | 12 | | **Day 5** | [Linear Regression](https://machinelearningmastery.com/linear-regression-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.06-Linear-Regression.ipynb) [github](https://github.com/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.06-Linear-Regression.ipynb) | 13 | | **Day 6** | [Logistic Regression](https://machinelearningmastery.com/logistic-regression-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/susanli2016/Machine-Learning-with-Python/blob/master/Logistic%20Regression%20in%20Python%20-%20Step%20by%20Step.ipynb)[github](https://github.com/susanli2016/Machine-Learning-with-Python/blob/master/Logistic%20Regression%20in%20Python%20-%20Step%20by%20Step.ipynb) | 14 | | **Day 7** | [Linear Discriminant Analysis](https://machinelearningmastery.com/linear-discriminant-analysis-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/poojahagawane/IRIS-Wine-Dataset/blob/master/Pooja_Hagavane_PROJECT2_wine.ipynb) [github](https://github.com/poojahagawane/IRIS-Wine-Dataset/blob/master/Pooja_Hagavane_PROJECT2_wine.ipynb) | 15 | | | **Nonlinear Algorithms** | | 16 | | **Day 8** | [Classification and Regression Trees](https://machinelearningmastery.com/classification-and-regression-trees-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/DecisionTrees_RandomForest_Classification.ipynb)[github](https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/DecisionTrees_RandomForest_Classification.ipynb) | 17 | | **Day 9** | [Naive Bayes](https://machinelearningmastery.com/naive-bayes-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Naive_Bayes_Classification.ipynb) [github](https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Naive_Bayes_Classification.ipynb) | 18 | | **Day 10** | [k-Nearest Neighbors](https://machinelearningmastery.com/k-nearest-neighbors-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/KNN_Classification.ipynb) [github](https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/KNN_Classification.ipynb) | 19 | | **Day 11** | [Learning Vector Quantization](https://machinelearningmastery.com/learning-vector-quantization-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sgsaikat/Linear_Vector_Quantization/blob/master/Classification_using_LVQ.ipynb) [github](https://github.com/sgsaikat/Linear_Vector_Quantization/blob/master/Classification_using_LVQ.ipynb) | 20 | | **Day 12** | [Support Vector Machines](https://machinelearningmastery.com/support-vector-machines-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Support_Vector_Machine_Classification.ipynb) [github](https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/Classification/Support_Vector_Machine_Classification.ipynb) | 21 | | | **Ensemble Algorithms** | | 22 | | **Day 13** | [Bagging and Random Forest](https://machinelearningmastery.com/bagging-and-random-forest-ensemble-algorithms-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WillKoehrsen/Machine-Learning-Projects/blob/master/Random%20Forest%20Tutorial.ipynb) [github](https://github.com/WillKoehrsen/Machine-Learning-Projects/blob/master/Random%20Forest%20Tutorial.ipynb) | 23 | | **Day 14** | [Boosting and AdaBoost](https://machinelearningmastery.com/boosting-and-adaboost-for-machine-learning/) | [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AnilNITT/Credit-Card-Fraud-Detection/blob/master/Scripts/Credit%20Card%20Fraud%20Detection.ipynb) [github](https://github.com/AnilNITT/Credit-Card-Fraud-Detection/blob/master/Scripts/Credit%20Card%20Fraud%20Detection.ipynb) | 24 | | | | | 25 | | **Machine learning Mini Course** | [All in One]( https://machinelearningmastery.com/machine-learning-algorithms-mini-course/ ) | | 26 | ##### Reference 27 | 28 | --- 29 | https://machinelearningmastery.com/ 30 | 31 | 32 | 33 | ***Note : NLP, DEEPLEARNING are coming soon...!!!*** 34 | 35 | --------------------------------------------------------------------------------