Blog, page 12

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Tutorials

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30 Aug2022Statistics and MathGranger Causality Test in PythonGranger Causality test is a statistical test that is used to determine if a given time series and it's lags is helpful in explaining the value of another series. You can implement this in Python using the statsmodels package.2 min read2 runnable examples
29 Aug2022Statistics and MathGranger Causality TestGranger causality test is a statistical test that is used to determine of a particular time series is helpful in forecasting another series2 min read
27 Aug2022Machine LearningMain Pitfalls in Machine Learning ProjectsNot all Data Science projects that get kicked-off see the light of day. Let's understand the common reasons why machine learning projects may fail.8 min read
26 Aug2022Machine LearningPopulation Stability Index (PSI)Learn what Population Stability Index (PSI) is and how to use it for model monitoring. Understand the formula, interpretation, and Python implementation.2 min read
21 Aug2022List ComprehensionUnderstand Python list comprehensions, a concise way to create lists using for loops in a single line. Includes examples, nested comprehensions, and conditionals.3 min read
4 Jun2022Machine LearningRegression Coefficient FormulaUnderstand the formula behind linear regression coefficients (alpha and beta). Step-by-step derivation with examples for simple linear regression.3 min read
30 May2022Machine LearningLinear Regression in Machine Learning – Clearly ExplainedLet's understand what linear regression is all about from a non-technical perspective, before we get into the details, we will first understand from a layman's terms what linear regression is.5 min read
8 May2022Machine LearningFeature selection using FRUFS and VevestaXFRUFS is model agnostic and is unsupervised, which means that Y does not have a role to play in identifying the features importance.4 min read
3 May2022Machine LearningDeploy ML model in AWS Ec2 – Complete no-step-missed guideunderstand the steps to deploy your ML model app in Amazon EC2 service. This guide is meant to serve as a walk through with full explanation of how to host an already running ML model (as flask app) in AWS EC2 instance from scratch.7 min readCode to run on your machine
27 Apr2022Machine LearningNebullvm – Tutorials and benchmarks on Nebullvm, the open-source deep learning inference acceleratorExplore Nebullvm, an open-source library that optimizes deep learning models to run 5-20x faster. Includes installation, benchmarks, and supported frameworks.2 min read
22 Feb2022PythonPython Module – What are modules and packages in python?Any Python files is a Module in Python. A python package is a collection of such modules along with a `__init__.py` file. Let's understand how to work with modules and packages with clear examples.4 min readCode to run on your machine
22 Feb2022PythonIterators in Python – What are Iterators and Iterables?Iterable in Python is any object that can be looped over. In order for an iterable to be looped over, an iterable needs to be converted to an iterator using the `__iter__()` method. Once created, it is actually the iterator that gets iterated over. This is also what happens internally when you run a for-loop.2 min read7 runnable examples
22 Feb2022PythonGenerators in Python – How to lazily return values only when needed and save memory?Generators in python provide an efficient way of generating numbers or objects as and when needed, without having to store all the values in memory beforehand.3 min read15 runnable examples
22 Feb2022PythonDecorators in Python – How to enhance functions without changing the code?Decorators in python allow you to dynamically change the functionality of another function, without altering it's code.2 min read10 runnable examples
21 Feb2022PythonObject Oriented Programming (OOPS) in PythonObject oriented programming is an effective way of writing code. Classes represent meaningful entities which defines its own behaviour (via methods) and attributes. Let's understand what a class is and the concepts behind Object Oriented Programming in Python6 min read1 runnable example
10 Feb2022Machine LearningConda create environment and everything you need to know to manage conda virtual environmentLearn how to create, manage, and delete conda virtual environments. Covers conda create, activate, deactivate, list, clone, and best practices for Python projects.3 min readCode to run on your machine
14 Nov2021PythonHow to use Numpy Random Function in PythonThe numpy.random.rand() function is used to generate random float values from a uniform distribution over [0,1). These values can be extracted as a single value or in arrays of any dimension.3 min read6 runnable examples
4 Nov2021Machine LearningSimulated Annealing Algorithm Explained from Scratch (Python)Simulated annealing algorithm is a global search optimization algorithm that is inspired by the annealing technique in metallurgy. Understand the algorithm behind and implement it in Python from scratch.8 min read5 runnable examples
2 Nov2021Statistics and MathPartial CorrelationPartial correlation is used to find the correlation between two variables with the effect of other influencing variables being controlled.3 min read3 runnable examples
29 Oct2021Statistics and MathChi-Square test – How to test statistical significance for categorical data?Chi-square test is used to determine whether there is a statistically significant difference between the observed frequency and the expected frequency in one or more categories of the contingency table6 min read5 runnable examples
20 Oct2021PythonNumpy Reshape – How to reshape arrays and what does -1 mean?The numpy.reshape() is used to reshape a numpy array without changing the data in the array. Read on to know all about reshaping numpy arrays.8 min read22 runnable examples
16 Sep2021PythonPandas Sample – Randomly Sample Rows From DataframeUse the pandas.DataFrame.sample() method from pandas library to randomly select rows from a Dataframe4 min read8 runnable examples
16 Sep2021PythonPandas Iterate Over RowsHow to iterate over rows in a pandas dataframe using diffferent methods like loc(),iloc(),iterrows(), iteritems etc, with practical examples4 min read8 runnable examples
16 Sep2021PythonPandas Head – How to get the first few rows?pandas.head() function is used to access the first n rows of a dataframe or series. It returns a smaller version of the caller object with the first few entries.2 min read8 runnable examples
16 Sep2021PythonPandas Dataframe.duplicated()The pandas.DataFrame.duplicated() method is used to find duplicate rows in a DataFrame. It returns a boolean which tells whether a row is duplicate or unique.7 min read14 runnable examples
16 Sep2021PythonPandas DescribeThe pandas describe function is used to get a descriptive statistics like mean, median, min-max values of different data columns.4 min read8 runnable examples
16 Sep2021PythonCreating pandas series from dictionaryPandas Series is a 1-dimensional array like object which can hold data of any type. You can create a pandas series from a dictionary by passing the dictionary to the command: pandas.Series().2 min read8 runnable examples
13 Sep2021PythonRegEx Replace values using PandasYou can manipulate the data using regular expressions (Regex). This article explains different ways of using pandas replace function with regex2 min read5 runnable examples
13 Sep2021PythonPandas HistogramThis article guides you on different methods to plot a histogram in a pandas dataframe along with various features available.3 min read2 runnable examples
12 Sep2021PythonPandas Select ColumnsYou can select columns in a pandas dataframe using multiple methods including loc, iloc, filter functions, etc. Read on to know more3 min read10 runnable examples