K-Nearest Neighbor in Python

Hello, I need this done in Python (using SciKit-Learn) using the attached CSV file. Compare Russia using the following data to the rest of the dataset. The questions are spelled out under the Russia dataset.

Afghanistan,59.61,23.21,74.30,4.44,0.40,1.5171 Haiti,45.00,47.67,73.10,0.09,3.40,1.7999 Nigeria,51.30,38.23,82.60,1.07,4.10,2.4493 Egypt,70.48,26.58,19.60,1.86,5.30,2.8622 Argentina,75.77,32.30,13.30,0.76,10.10,2.9961 China,74.87,29.98,13.70,1.95,6.40,3.6356 Brazil,73.12,42.93,14.50,1.43,7.20,3.7741 Israel,81.30,28.80,3.60,6.77,12.50,5.8069 U.S.A,78.51,29.85,6.30,4.72,13.70,7.1357 Ireland,80.15,27.23,3.50,0.60,11.50,7.5360 U.K.,80.09,28.49,4.40,2.59,13.00,7.7751 Germany,80.24,22.07,3.50,1.31,12.00,8.0461 Canada,80.99,24.79,4.90,1.42,14.20,8.6725 Australia,82.09,25.40,4.20,1.86,11.50,8.8442 Sweden,81.43,22.18,2.40,1.27,12.80,9.2985 NewZealand,80.67,27.81,4.90,1.13,12.30,9.4627

Above find the CSV file that must be used. Output for the first two parts should look like the below picture:

I need all four parts to work. (But I will settle if you get the first two parts to work)

use Russia as our query country for this question. The table below lists the de We will tive features for Russia. COUNTRY LIFE TOP-10 INFANT MIL SCHOOL PI ID EXP. INCOME MORT SPEND YEARS Russia 67.62 31.68 10.00 3.87 12.90 1. What value would a nearest neighbor prediction model using Euclidean distance return for the CPI of Russia? 2. What value would a weighted k-NN prediction model return for the CPI of Russia? Use k 16 (ie., the full dataset) and a weighting scheme of the reciprocal of the squared Euclidean distance between the neighbor and the query. 3. The descriptive features in this dataset are of different types. For example, some are percentages, others are measured in years, and others are measured in counts per 1,000. We should always consider normalizing our data, but it is particularly important to do this when the descriptive features are measured in different units. What value would a 3-nearest neighbor prediction model using Euclidean distance return for the CPI of Russia when the descriptive features have been normalized using range normalization? (Hint: The normalized query is given as follows: Russia', 0.6099, 0.3754, 0.0948, 0.5658, 0.9058 4. What value would a weighted k-NN prediction modelwith k 16 (i.e., the full dataset) and using a weighting scheme of the reciprocal of the squared Euclidean distance between the neighbor and the queryreturn for the CPI of Russia when it is applied to the range-normalized data