I have problems in machine learning project "Bob the builder" here's my code. I am not expert in python I know only basics so -

Question

So I can't tell what's wrong with this
Here's my code
import pandas as pd
from sklearn.linear_model import LogisticRegression
n = int(input())
X = []
for i in range(n):
X.append([float(x) for x in input().split()])
y = [int(x) for x in input().split()]
datapoint = [float(x) for x in input().split()]

datapoint = [float(x) for x in input().split()]
model = LogisticRegression()
model.fit(X,y)
print(model.predict(datapoint))

Answer 1

The issue in your code is that the list comprehension for collecting data points in the variable `X` is incomplete. It lacks the expression that should be appended to the list `X`.

Answer 2

Girish Sahu You cannot call the input so many times in the for loop, only you call one time and then build a for loop.

The best way to see how the data see is to print it, or a small part of it.

Answer 3

Could you present the task description?

Answer 4

JaScript Task

You are given a feature matrix and a single datapoint to predict. Your job will be to build a Logistic Regression model with the feature matrix and make a prediction (1 or 0) of the single datapoint.

Input Format

First line: Number of data points in the feature matrix (n)

Next n lines: Values of the row in the feature matrix, separated by spaces

Next line: Target values separated by spaces

Final line: Values (separated by spaces) of a single datapoint without a target value

Answer 5

Wilbur Jaywright that was mistaken I fixed that

Answer 6

In addition to the above mentioned will be needed the datapoint to reshape.

Answer 7

Why do you have the datapoint line twice?

Answer 8

I think I should learn how to convert that n variable into array and acces last elements