Blog tagged as python library

Introduction To Beginner's Guide to PyCaret

This is Beginner's Guide to PyCaret. If you're looking for a beginner-friendly and robust machine learning library, your search ends right here! PyCaret is an open-source ML package in Python that offers a multitude of features. This includes everything ran...

Introduction to Plotly

Plotly is Montreal based company in the field of data analytics and visualization. It has developed open-source API libraries that can be used for data visualization using R, Python and other programming languages. Plotly provides over 40 plot types, ranging from bar graph, lin...

Introduction To Statistics in Machine Learning and SciPy

In this article we are going to discuss Statistics in Machine Learning and SciPy, Statistical Machine Learning has become a vital component in the journey to becoming a good Data Scientist. Statistics and other numerical concepts have become an...

PyTorch is an open-source deep learning framework based in Python. PyTorch and TensorFlow are known to lead the forefront when it comes to implementing neural networks for deep learning. While TensorFlow has widely been adopted across many industries, PyTorch too is slowly picking up the pace. Compa...

Introduction Beginner's Guide to Regex

This is Beginner's Guide to Regex, If you're someone with a technical background, you must already be aware of the resourcefulness of RegEx. It's just a fancy term for Regular Expression and the knowledge of its practice is pretty essential in the world of progr...

Introduction To Beginner's Guide to OpenCV

This is Beginner's Guide to OpenCV, One of the most advanced and compelling types of Machine Learning applications of the present decade is undoubtedly Computer Vision. Knowingly or unknowingly, you have experienced one of its numerous utilization. From Tesl...

Introduction to Beginner's Guide to Python

This is your one-stop place for a Beginner's Guide to Python. As companies around the globe began to realize the potential of big data for businesses, the need for a dynamic language that could handle this data grew. Data science emerged from this necessity ...

IntroductionANOVA (Analysis of Variance)

Analysis of Variance(ANOVA) is an extremely important tool for data analysis. Two types of ANOVA one is One Way and anothe is Two Way ANOVA used.

It is a statistical method to compare the population means of two or more groups by analyzing variance. 

ANOVA ...

IntroductionChi-square and ANOVA Tests

In this blog, discuss two different techniques such as Chi-square and ANOVA Tests. Both are hypothesis testing mainly theoretical.

The Chi-Square test is a statistical procedure used by researchers to find out differences between categorical variables in the same...

IntroductionCovariance and Correlation

Covariance and correlation both are mathematical concepts that are also used in statistics and probability theory. Most useful in understanding variables. Generally use the data science field for comparing data samples from different populations, and covariance ...