Python –Gaussian Naive Bayes classifier How can I resolve this…
Python –Gaussian Naive Bayes classifier How can I resolve this Error “TypeError: np.matrix is not supported. Please convert to a numpy array with np.asarray. For more information “ CODE: from sklearn.datasets import load_svmlight_filefrom sklearn.model_selection import train_test_splitfrom sklearn.pipeline import make_pipelinefrom sklearn.preprocessing import StandardScalerfrom sklearn.naive_bayes import GaussianNB # Load the data from a libsvm fileX, y […]
Program should run in python 3 API :…
Program should run in python 3 API : https://api.chucknorris.io/ Outline : Welcome: Print a Welcome message for the user. : Make a GET request from the library to API: Chuck Norris Jokes. Choose science for as the category Only generate jokes of this categor parse the JSON data to obtain the “value” […]
ogram should run in python 3 API :…
ogram should run in python 3 API : https://api.chucknorris.io/ Outline : Welcome: Print a Welcome message for the user. : Make a GET request from the library to API: Chuck Norris Jokes. Choose science for as the category Only generate jokes of this categor parse the JSON data to obtain the “value” […]
DTLearner import pandas as pd import numpy as np class…
DTLearner import pandas as pd import numpy as np class DTLearner(object): def __init__(self, leaf_size = 1, verbose = False): self.leaf_size = leaf_size self.verbose = verbose self.dataframe = None self.tree = None […]
DTLearner import pandas as pd import numpy as np class…
DTLearner import pandas as pd import numpy as np class DTLearner(object): def __init__(self, leaf_size = 1, verbose = False): self.leaf_size = leaf_size self.verbose = verbose self.dataframe = None self.tree = None […]
Two sum in Python: Based on array of different integers (ints) and…
Two sum in Python: Based on array of different integers (ints) and a single integer (target), write function to print count/amount of combinations (non-repeating) of pairs of integers in (ints) such that the two integers sum to (target). Starting with: def twosum (ints, target): I’m not sure how to make it so the code returns […]
import pandas as pd import numpy as np from sklearn.model_selection…
import pandas as pdimport numpy as npfrom sklearn.model_selection import train_test_splitfrom sklearn import linear_modelfrom sklearn.metrics import r2_score import seaborn as snsimport matplotlib.pylab as plt%matplotlib inline reg = linear_model.LinearRegression()X = iris[[‘petal_length’]]y = iris[‘petal_width’]reg.fit(X, y)print(“y = x *”, reg.coef_, “+”, reg.intercept_) predicted = reg.predict(X)mse = ((np.array(y)-predicted)**2).sum()/len(y)r2 = r2_score(y, predicted)print(“MSE:”, mse)print(“R Squared:”, r2) Training and Testing […]
how to calculate average maths score for student of each year…
how to calculate average maths score for student of each year level(9,10,11,12) at each school, using pandas. how to make a pandas series for each year, and group each series by school, and then combine the series in a dataframe the results like below Year 9 Year 10 Year 11 Year 12 Bailey High […]
def add(num1, num2): return num1 + num2 def sub(num1, num2):…
def add(num1, num2): return num1 + num2 def sub(num1, num2): return num1 – num2 def mult(num1, num2): return num1 * num2 def div(num1, num2): if num2 == 0: raise ZeroDivisionError(“Cannot divide by zero”) else: return num1 / num2 def isInRange(lr, hr, n): if n >= lr and n <= hr: […]
The Beauty of Data Visualization Here is an easy and short…
The Beauty of Data Visualization Here is an easy and short discussion post: watch this Ted Talk on data visualization. https://www.youtube.com/watch?v=5Zg-C8AAIGg Watch the video, then answer the following questions: Summarize the video in a few sentences (2-4) Why is it important to visualize data in specific ways? Give at least three reasons. How […]
