Sometimes, you might need some packages which do not come with the standard Python libraries and you would want to install them separately.
You will notice how frustrating it is when you get stuck because of a package you are missing.
Sentdex on Youtube covers that accurately and you can watch him here:
Other relevant links to go with the video:
Hope this helps you.
I worked with a World Bank Dataset provided by the Course instructors. The research question was: Prediction of Adjusted Net National Income Per Capita of Countries Brief Introduction to the Research Question The purpose of this project was to identify the best predictors for Adjusted Net National Income Per Capita of countries from multiple World…
Background of the Dataset CSV file Used: In the GapMinder Codebook the Unique Identifier = Country Hence in this program, my Unique Identifier = Ghana 1. There are 3 chosen variables (columns) that are core to my chosen research question which is based on the country Ghana. These are a. incomeperperson b. lifeexpectancy…
In this quick notes, we will go through aggregation in Python. This is part of lectures on Learning Python for Data Analysis and Visualization by Jose Portilla on Udemy. import numpy as np import pandas as pd from pandas import Series, DataFrame url = “http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/” In [2]: dframe_wine = pd.read_csv(‘winequality-red.csv’, sep=’;’) In [4]: dframe_wine.head() Out[4]: fixed…
In this quick notes, we will have a look at Rank and Sort in Series and DataFrames in Python In [1]: import numpy as np import pandas as pd from pandas import Series, DataFrame In [3]: #make a series ser1 = Series(range(3), index=[‘C’,’A’,’B’]) ser1 Out[3]: C 0 A 1 B 2 dtype: int32 In [4]:…
Group By FunctionThis is a quick look at Python groupby function. Very powerful and useful function. We will take a simple look at it here. Credits to Data School , creator of Python course materials. lets import sample dataset In [18]: import pandas as pd In [19]: drinks = pd.read_csv(‘http://bit.ly/drinksbycountry’) In [20]: #lets check the head…
Having started my journey in Data Science. I came across Mean Squared Error several times and realised how important that concept is. Then I started working on project and needed to really understand what Mean Squared Error is ? So what is Mean Squared Error ? Simply, let’s say you are building your model. And…
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