Here we are going to see about how the scikit-learn is used in recognizing handwritten digits.

Scikit-learn is a free machine learning library for Python. It features various algorithms like support vector machine, random forests, and k-neighbors, and it also supports Python numerical and scientific libraries like NumPy and SciPy.

four-step modeling pattern in scikit-learn:
1. Import the model
2. Create instance
3. Training the model
4. Predicting the new label data

Before modeling the data prepare and split the data for train and test.

I imported the inbuilt dataset from the sklearn.

IMPORT THE REQUIRED LIBRARIES AND THE DATASET


The dataset has the data for past 10years from 2006–04–01 00:00:00.000 +0200 to 2016–09–09 23:00:00.000 +0200. It corresponds to Finland, a country in Northern Europe. If you want to try using the dataset go to the below drive link and download: https://drive.google.com/open?id=1ScF_1a-bkHi1qe8Rn78uxK6_5QwUD9B .

We need to find the average temperature for the month starting from April 2006 to 2016 and average humidity for the same period.

STEPS INVOLVED:

STEP 1: Import the dataset

STEP 2: Print the Data

STEP 3: Check the type of the data

STEP 4: Cleaning the data

STEP 5: Check Whether the dataset has any invalid…

Swetha Sreenivasan

Student

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