Decision Tree Classifier is a simple and widely used classification technique that applies a straightforward idea to solve the classification problem.

Working of Decision Tree

Introduction


A deep insight into logistic regression including the math involved in it.

Photo by Crissy Jarvis on Unsplash

Introduction to Classification


Photo by Volodymyr Hryshchenko on Unsplash

How Stepwise Regression Works

  • The Backward Method: Whenever a model is fully…

What if the simple linear regression model can’t find any relationship between the target and the predictor variable?🤔

Photo by Luke Chesser on Unsplash

What is Polynomial Regression?


Solving overfitting and underfitting problems of the linear regression by using some new regression techniques.

Photo by Carlos Muza on Unsplash


Linear Regression is the beginner’s algorithm for a kick-start in Machine Learning. Let's take a deep dive into the Math behind this algorithm.

Source: Author


A complete discussion on dataset types and ML algorithms for beginners. Processes involved in creating the ML model will also be covered.

Photo by Franki Chamaki on Unsplash

How does Machine Learning Work?

  • The Machine Learning algorithm is trained using a training dataset and a model is created.
  • Then the trained model works on a test dataset and generates predictions.
  • The prediction is evaluated for accuracy and if the accuracy is acceptable, the Machine Learning model is deployed. If the accuracy is not acceptable, then the Machine Learning model is trained with other techniques.
  • The type of technique (or algorithm) of ML used…


An important Python library for Machine Learning.

Photo by Sid Balachandran on Unsplash

Key Features of Pandas

  • It’s fast and efficient DataFrame object indexing easy.
  • Used for reshaping and pivoting of the data sets.
  • Group by data for aggregations and transformations.
  • It is used for data alignment and integration of the missing data.
  • Provide the functionality of Time Series.
  • Process a variety of data sets in different formats like matrix data, tabular heterogeneous, time series.
  • Handle multiple operations of the data sets such as subsetting, slicing, filtering, groupBy, re-ordering, and re-shaping.
  • It integrates with the…


Python’s beginner libraries to start Machine Learning.

Credit: Author


The History of AI

Step towards AI

Deep Patel

Learning and exploring this beautiful world with amazing tech.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store