Programming

Five Courses that can be finished in one week to advance Pandas skills

Five Courses that can be finished in one week to advance Pandas skills

𝟏. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐂𝐨𝐝𝐞 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: This course will build on your knowledge of Python and the panda's library and introduce you to efficient built-in pandas functions to perform tasks faster. Link:- Get the course here 𝟐. 𝐉𝐨𝐢𝐧𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: In this course, you will learn to handle multiple DataFrames by combining, organizing, joining, and reshaping them using pandas. Get this course here 𝟑. 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: This course teaches you how to build pipelines to import data kept in common storage formats. You’ll use pandas to get data from a variety of sources, from spreadsheets of…
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Find out the Longest Path in a matrix

Find out the Longest Path in a matrix

Given an m-by-n matrix with positive integers, determine the length of the longest path of increasing within the matrix. For example, consider the input matrix:[1 2 34 5 67 8 9] The answer should be 5 since the longest path would be 1-2-5-6-9 def isValid(mat, i, j): return 0 <= i < len(mat) and 0 <= j < len(mat) def findLongestPath(mat, i, j): if not isValid(mat, i, j): return [] path = [] if i > 0 and mat[i - 1][j] - mat[i][j] == 1: path = findLongestPath(mat, i - 1, j) if j + 1 < len(mat) and mat[i][j…
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What’s a natural Join in SQL?

What’s a natural Join in SQL?

You’ve heard of inner, left, right, and outer joins, but do you know about NATURAL JOINS?? USING clause, which allows you to shortcut your writing of joins by only requiring the joining columns to be typed out once and returns those columns only once when you SELECT * from all your joined tables Well, natural joins take that one step further, by eliminating the need to type out any join expression or join columns at all. The only thing you need to ensure is that your joining columns are the same name and data type across your associated tables being…
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Linux Basic Commands You Should Know

Linux Basic Commands You Should Know

In this Blog, We will be discussing some important Linux commands. Basic Linux Commands• File Handling• Text Processing• System Administration• Process Management• Archival• Network• File Systems• Advanced Commands Sources to learn commands?? Primary – man(manual) pages.  man <command>shows all information about the command.­­<command> --help ­ shows the available options for that command. Secondary – Books and Internet. File Handling commands mkdir – make directories Usage: mkdir [OPTION] DIRECTORY… eg. mkdir geekycodes ls – list directory contents Usage: ls [OPTION]… [FILE]… eg. ls, ls ­l, ls geekycodescd – changes directories Usage: cd [DIRECTORY] eg. cd geekycodespwd ­ print name of current working directory Usage: pwdvim – Vi Improved, a programmers text editor Usage: vim [OPTION] [file]… eg. vim file1.txtcp – copy…
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How to do Feature Encoding and Exploratory Data Analysis

How to do Feature Encoding and Exploratory Data Analysis

Categorical variables are those values that are selected from a group of categories or labels. For example, the variable Gender with the values of male or female is categorical, and so is the variable marital status with the values of never married, married, divorced, or widowed. In some categorical variables, the labels have an intrinsic order, for example, in the variable Student's grade, the values of A, B, C, or Fail are ordered, A being the highest grade and Fail the lowest. These are called ordinal categorical variables. Variables in which the categories do not have an intrinsic order are…
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8 Essential Machine Learning Terms You must Know

8 Essential Machine Learning Terms You must Know

Data Wrangling Data Wrangling is the process of gathering, selecting, cleaning, structuring, and enriching raw data into the desired format for better decision-making in less time. If you want to create an efficient ETL pipeline(Extract, transform, and load) or create beautiful data visualizations, you should be prepared to do a lot of data wrangling-springboard. Data Imputation Data Imputation is the substitution of estimated values for missing or inconsistent data items(fields). The substituted values are intended to create a data record that does not fail edits. The most common technique is mean imputation, where you take the mean of the existing…
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What are Bias and Variance in Machine Learning

What are Bias and Variance in Machine Learning

As machine learning is increasingly used in applications, machine learning algorithms have gained more scrutiny. With larger data sets, various implementations, algorithms, and learning requirements, it has become even more complex to create and evaluate ML models since all those factors directly impact the overall accuracy and learning outcome of the model. This is further skewed by false assumptions, noise, and outliers. Machine learning models cannot be a black box. The user needs to be fully aware of their data and algorithms to trust the outputs and outcomes. Any issues in the algorithm or polluted data set can negatively impact the ML model. The main…
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7 Mobile App Testing Ideas That Will Speed Up Your Releases.

7 Mobile App Testing Ideas That Will Speed Up Your Releases.

When it comes to apps, it's not just about the app itself. You need a platform that enables you to deliver an app that will delight your users and bring in revenue. Adhering to best practices is essential even if you're a one-person shop, so you can avoid any mishaps on launch day. Here are 7 mobile app testing ideas for your next release that will help smooth out every step of the process. 1. Automated App Testing One of the quickest and easiest ways to speed up your mobile app releases is to use automated testing tools. These tools…
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What is lambda in Python? Why is it used?

What is lambda in Python? Why is it used?

A lambda function is an anonymous function in Python. syntax → lambda <argument name> : <return expression> It starts with the keyword, followed by a comma-separated list of zero or more arguments, followed by the colon and the return expression. For example, lambda x, y, z: x+y+z would calculate the sum of the three-argument values x+y+z. Use of Lambda Functions uses lambda functions once we require a nameless function for a brief period of your time.Lambda functions reduce the number of lines of code when compared to normal python functions.They are generally used when a function is needed temporarily for a short period…
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Clustering & Visualization of Clusters using PCA

Clustering & Visualization of Clusters using PCA

Customer's Segmentation based on their Credit Card usage behavior Dataset for this notebook consists of the credit card usage behavior of customers with 18 behavioral features. Segmentation of customers can be used to define marketing strategies. Content of this Kernel: Data PreprocessingClustering using KMeansInterpretation of ClustersVisualization of Clusters using PCA # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load in import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g.…
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