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How to Add Uncertainty Estimation to your Models with Conformal Prediction

https://miro.medium.com/max/1200/0*XG192viu0eboZPqj Original Source Here import numpy as npimport matplotlib.pyplot as pltfrom sklearn.datasets import load_iris, load_bostonfrom sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressorfrom nonconformist.icp import IcpClassifier, IcpRegressorfrom nonconformist.nc import ClassifierNc, MarginErrFunc, ClassifierAdapter, RegressorNc, AbsErrorErrFuncfrom sklearn.model_selection import train_test_splitdef regression_calibration_curve(estimator, X, y, alphas=np.linspace(0.1,1,10, endpoint=True)): errors = [] interval_sizes = [] for a in alphas: pred = estimator.predict(X_test, significance=a) interval_sizes.append(np.mean([y-x for x,Continue reading “How to Add Uncertainty Estimation to your Models with Conformal Prediction”

Engaging ML Tracking and Visualization : Sit Back and Relax

Original Source Here Engaging ML Tracking and Visualization : Sit Back and Relax Chapter 1 — W&B Learn Something New: The Golden Pheasant are popularly known as the ‘Chinese Pheasant’ as they are native to Western and Central China, living primarily in the mountainous forests. From The New York Public Library — https://on.nypl.org/3zwIhFJ The worldContinue reading “Engaging ML Tracking and Visualization : Sit Back and Relax”

Impacts of Cybercrimes on Indian Youth-A critical Analysis of Cybercrime Policies.

Original Source Here Impacts of Cybercrimes on Indian Youth-A critical Analysis of Cybercrime Policies. Introduction Before the implementation of cybersecurity rules and regulations, every administration kept in mind the results that might be feasible in case of a decline in the cybercrime rate. Therefore, the impacts of cybercrimes are more catastrophic than ordinary cyber criminalitiesContinue reading “Impacts of Cybercrimes on Indian Youth-A critical Analysis of Cybercrime Policies.”

14 Pandas Operations That Every Data Scientist Must Know!

https://miro.medium.com/max/1200/0*sfatXQPwIQWMExmw Original Source Here 7. Merging the values: ### Creating a dataframeimport pandas as pddataset1 = {‘Fruits’: [“Apple”, “Mango”, “Grapes”, “Strawberry”, “Oranges”], ‘Supply’: [30, 15, 10, 25, 20]}dataset2 = {‘Fruits’: [“Melons”, “Pear”], ‘Supply’: [10, 20]}# Create DataFramedf1 = pd.DataFrame(dataset1)df2 = pd.DataFrame(dataset2)# Print the output.df1.merge(df2, how = “outer”) Image By Author Assume that we have twoContinue reading “14 Pandas Operations That Every Data Scientist Must Know!”

دستیاران دیجیتال که خود را با نیازهای هر فروشگاه تطبیق می‌دهند

Original Source Here دستیاران دیجیتال که خود را با نیازهای هر فروشگاه تطبیق می‌دهند پاندمی کرونا به ما آموخت که تقریباً همه شرکت‌ها در نهایت مجبور به فروش محصولات خود در اینترنت هستند. ربات‌ها فناوری هستند که تجارت الکترونیک را تسهیل می‌کنند. این ربات‌ها می‌توانند دستیاران دیجیتال باشند که به سوالات مشتریان در مورد کالاهاییContinue reading “دستیاران دیجیتال که خود را با نیازهای هر فروشگاه تطبیق می‌دهند”

PYTHON BASICS, PYTHON 101 Introduction Python is a “high level-programming language and its core…

Original Source Here PYTHON BASICS, PYTHON 101 Introduction Python is a “high level-programming language and its core design philosophy is all about the code readability, and a syntax which allows programmers to express concepts in a few lines of code” Guido Van Rossum. Popularity of the language grew due to its wide range of applicationContinue reading “PYTHON BASICS, PYTHON 101 Introduction Python is a “high level-programming language and its core…”

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