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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. …

Python is one of the best programming languages. Due to its readability and beginner-friendly nature, it has been accepted by industries around the world. So to master Python for any field you have to work on projects. …

This article will introduce you to over 255+ 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. Water Quality Analysis
  3. Twitter…

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. LeNet-5 Architecture
  3. Introduction and Approaches to build Recommendation Systems
  4. Mean-Shift Clustering
  5. Mini-Batch K-Means Clustering
  6. Part of Speech Tagging
  7. Performance Evaluation Metrics
  8. Multinomial…

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 insurance is also assigned to a group, but unlike classification, clustering is based on unsupervised learning. Here the dataset you deal with doesn’t…

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…

If you find it difficult to work on machine learning projects as a beginner, it will be good for you to break the entire process of a machine learning project into small steps. This will help you focus on all the steps while solving a problem, and in the end…

If you are learning Python for data science, you should know that there are many Python libraries that you should learn for data science. From reading a CSV file, or image dataset, to training your machine learning model, or a neural network, if you are using Python, many Python libraries…

In Machine Learning, the performance evaluation metrics are used to calculate the performance of your trained machine learning models. This helps in finding how better your machine learning model can perform on a dataset that it has never seen before. If you have never used any performance evaluation metrics to…

Aman Kharwal

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