In my last article, I stated that for practitioners (as opposed to theorists), the real prerequisite for machine learning is data analysis, not math. One of the main reasons for making this statement, is that data scientists spend an inordinate amoun…
refer to: https://www.kaggle.com/dansbecker/data-leakage There are two main types of leakage: Leaky Predictors and a Leaky Validation Strategies. Leaky Predictors This occurs when your predictors include data that will not be available at the time y…
Using Pandas Library The simplest way is to read data from .csv files and store it as a data frame object: import pandas as pd df = pd.read_csv('olympics.csv', index_col=0, skiprows=1) You can also read .xsl files and directly select the rows and col…
Machine learning Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions,…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
About this Course Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly i…