#Python

Train Test Split – How to split data into train and test for validating machine learning models?

The train-test split technique is a way of evaluating the performance of machine learning models. Whenever you build machine learning models, you will be...

How to deal with Big Data in Python for ML Projects (100+ GB)?

The size of the data you can load and train in your local computer is typically limited by the memory in your computer. Let’s...

Granger Causality Test in Python

Granger Causality test is a statistical test that is used to determine if a given time series and it’s lags is helpful in explaining...

Decorators 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. What? Is that possible? Yes. This covers:...

Generators 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...

Iterators 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...

Python Module – What are modules and packages in python?

Any Python file with a .py extension is a Module in Python. A python package is a collection of such modules along with a...

Object Oriented Programming (OOPS) in Python

Object oriented programming is an effective way of writing code. You create classes which are python objects, that represented meaningful entities which defines its...

How to use Numpy Random Function in Python

How to use numpy.random.rand() function ? numpy.random.rand() function is used to generate random float values from an uniform distribution over [0,1). These values can...

Simulated Annealing Algorithm Explained from Scratch (Python)

Partial Correlation

What is Partial Correlation and it’s purpose Partial correlation is used to find the correlation between two variables (typically a dependent and an independent...

Chi-Square test – How to test statistical significance for categorical data?

What is chi-square test and its purpose? Chi-square test was invented in the year ‘1900’ by the revered mathematician ‘Karl Pearson’. Chi-square test, also...

Numpy Reshape – How to reshape arrays and what does -1 mean?

How to reshape a numpy array? The numpy.reshape() function is used to reshape a numpy array without changing the data in the array. It...

Pandas Sample – Randomly Sample Rows From Dataframe

Use the pandas.DataFrame.sample() method from pandas library to randomly select rows from a DataFrame Randomly selecting rows can be useful for inspecting the values...

Pandas Iterate Over Rows

Pandas DataFrame is used very popularly to store tabular data. Very often, we need to iterate over rows of the dataframe to perform various...

Pandas Describe

How to use Pandas Describe function? The pandas.describe function is used to get a descriptive statistics summary of a given dataframe. This includes mean,...

Pandas Dataframe.duplicated()

The pandas.DataFrame.duplicated() method is used to find duplicate rows in a DataFrame. It returns a boolean series which identifies whether a row is duplicate...

Creating pandas series from dictionary

Pandas Series is a 1-dimensional array like object which can hold data of any type. You can create a pandas series from a dictionary...

Pandas 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...