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.
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…