Top 10 Machine Learning Algorithms

Machine Learning Algorithms Every Engineer Should Know

1. Naïve Bayes Classifier Algorithm

2. K Means Clustering Algorithm

3. Support Vector Machine Algorithm

4. Apriori Algorithm

5. Linear Regression

6. Logistic Regression

7. Artificial Neural Networks

8. Random Forests

9. Decision Trees

10. Nearest Neighbours

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Isolation Levels in SQL server

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Dart: Sci-kit learn for Time Series Analysis It comprises all the API required for Time series analysis and its primary goal is to simplify the time series machine learning experience. Darts in not inbuilt, so install it using " pip install u8darts" In [4]: import pandas as pd from darts import TimeSeries Like pandas has DataFrame, Similarly, Darts has TimeSeries In [7]: df = pd . read_csv ( '../input/air-passengers/AirPassengers.csv' ) Series = TimeSeries . from_dataframe ( df , 'Month' , '#Passengers' ) This timeseries is univariate, containing only one variable. Splitting the series into training and validation TimeSeries In [9]: train , val = Series . split_before ( pd . Timestamp ( '19580101' )) Models All the time series models: Exponential smoothing, ARIMA & auto-ARIMA, Facebook Prophet, Theta method, FFT (Fast Fourier Transform), Recurrent neural networks (vanilla RNNs, GRU, and LSTM variants), Temporal Convol...

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