Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder | Top writer in Artificial Intelligence

Many freshmen with data science skills struggle to get their first job as data scientists. One of the main reasons behind this is that an interviewer doesn’t find the perfect personality in you to fit into a data scientist role. So, to prepare for your first data science job, you…

A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. …

This article will introduce you to over 270+ machine learning projects solved and explained using Python programming language.

Machine Learning Projects for Beginners

Before moving to the complex projects in the next section, I advise you to explore these beginner-level projects if you are new to Machine Learning.

  1. Stock Price Prediction
  2. Article Recommendation System
  3. Training…

In this article, I will take you through an explanation and implementation of all Machine Learning algorithms and models with Python programming language.

All Machine Learning Algorithms & Models with Python

  1. Assumptions of Machine Learning Algorithms
  2. Best Approaches for Sentiment Analysis
  3. Multiclass Classification Algorithms
  4. Binary Classification Algorithms
  5. Clustering Algorithms
  6. LeNet-5 Architecture
  7. Introduction and Approaches to build Recommendation Systems

Data analysis is the process of inspecting and exploring data generated by a particular population to find the information needed to make decisions and draw conclusions. With the use of data in decision making, most businesses today need data analysts. So, if you want to know about the best books…

Clustering is the task of identifying similar instances based on similar features and assigning them to clusters based on similar instances. It sounds like classification where each instance is also assigned to a group, but unlike classification, clustering is based on unsupervised learning. Here the dataset you deal with doesn’t…

Machine learning algorithms are a series of steps used to find the relationship between labels and features of a dataset. Machine learning algorithms play an important role in building applications and models based on machine learning. There are so many machine learning algorithms that if you want to learn each…

Natural language processing or NLP is a subfield of artificial intelligence where we build applications to interact with humans. One of the examples of NLP applications is a chatbot which is used by so many websites to solve some of the common issues people face when taking their services. So…

Almost every app or website you visit today shows you what may interest you the most. For example, if you’ve been using YouTube for a long time, you must have seen content from your favourite creators or the type of videos you like to watch every time you visit YouTube…

Aman Kharwal

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