Tag Machine Learning Project

App Reviews Sentiment Analysis using Python

App Reviews Sentiment Analysis using Python

App Reviews Sentiment Analysis means evaluating and understanding the sentiments expressed in user reviews of mobile applications (apps). It involves using data analysis techniques to determine whether the sentiments in these reviews are positive, negative, or neutral. If you want…

Book Recommendation System with Python

Book Recommendation System with Python

A Book Recommendation System is a data-driven application designed to suggest books to users based on their preferences, reading history, and behaviour. It employs various data science and machine learning techniques to provide personalized book recommendations, enhancing the reading experience…

Scikit-learn for Machine Learning

Scikit-learn for Machine Learning

Scikit-learn is a powerful library that provides a wide range of tools for data preprocessing and machine learning. It is built on top of other popular Python libraries like NumPy, SciPy, and Matplotlib, making it an integral part of the…

Ads CTR Forecasting using Python

Ads CTR Forecasting using Python

Ads CTR Analysis stands for Click-Through Rate Analysis for advertisements. Ads CTR Analysis is the process of examining the effectiveness of online advertisements by measuring the rate at which users click on an ad’s link to reach the advertiser’s website.…

Text Analysis using Python

Text Analysis using Python

Text Analysis, also known as Text Mining or Natural Language Processing (NLP), is a technique used to extract meaningful information and insights from unstructured text data, including documents, emails, social media posts, customer reviews, and more. If you want to…

Anomaly Detection in Transactions using Python

Anomaly Detection in Transactions using Python

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour. If you want to learn…

Web Data ETL Pipeline using Python

Web Data ETL Pipeline using Python

A Web Data ETL (Extract, Transform, Load) pipeline is a systematic process used in data engineering to collect, transform, and load data from various sources on the internet into a structured and usable format for analysis and storage. So, if…

Netflix Subscriptions Forecasting using Python

Netflix Subscriptions Forecasting using Python

Forecasting the number of subscriptions Netflix will achieve in a time period is a vital business practice that enables them to plan, strategize, and make data-driven decisions. It enhances operational efficiency, financial planning, and content strategy, ultimately contributing to their…

Music Recommendation System using Python

Music Recommendation System using Python & Spotify API

A Music Recommendation System is an application of Data Science that aims to assist users in discovering new and relevant musical content based on their preferences and listening behaviour. Personalized music recommendations have become an essential tool in the digital…

Machine Learning Projects using Python

Machine Learning Projects using Python

A Machine Learning Engineer uses data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve problems. If…

Hybrid Recommendation System using Python

Hybrid Recommendation System using Python

A hybrid recommendation system is a recommendation technique that offers a complete and balanced approach by mixing two or more recommendation techniques. It aims to provide more accurate, diverse and personalized recommendations to users leveraging the strengths of different techniques…

Loan Approval Prediction using Python

Loan Approval Prediction using Python

Loan Approval Prediction is one of the problems that Machine Learning has solved in fintech businesses like banks and financial institutions. Loan approval prediction means using credit history data of the loan applicants and algorithms to build an intelligent system…

Topic Modelling using Python

Topic Modelling using Python

Topic Modelling means assigning topic labels to a collection of text documents. The goal of topic modelling is to identify topics present in the text documents. So, if you want to learn how to perform topic modelling, this article is…

Job Recommendation System using Python

Job Recommendation System using Python

A recommendation system is a popular application of Data Science that recommends personalized content based on the users’ interests. Almost all the popular websites you visit today use a recommendation system. As the name suggests, a job recommendation system is…

Machine Learning Roadmap

Machine Learning Roadmap

In Machine Learning, we use data and algorithms to build intelligent systems. In the next ten years, you will explore many new high-paying jobs that require you to know about Machine Learning. So the time you will spend today learning…

Salary of a Machine Learning Engineer

Salary of a Machine Learning Engineer

Like all other jobs, the salary of a Machine Learning Engineer depends on many factors like work experience, living standards in the country, and demand for Machine Learning Engineers in the country. Out of all factors, work experience is the most important…

Salary Prediction with Machine Learning

Salary Prediction with Machine Learning

Salary differs according to the job profile of the person. But generally, it’s the working experience that determines the salary. Salary prediction is a popular problem among the Data Science community for complete beginners. So, if you are a beginner…

Weather Forecasting using Python

Weather Forecasting using Python

In Data Science, weather forecasting is an application of Time Series Forecasting where we use time-series data and algorithms to make forecasts for a given time. If you want to learn how to forecast the weather using your Data Science…

Roadmap to Learn Machine Learning

Roadmap to Learn Machine Learning

In Machine Learning, we use data and algorithms to build intelligent systems. It doesn’t matter if you want to become a Machine Learning Engineer, Data Scientist, or Data Analyst. If you want any job in the Data Science field, you…

Process of NLP using Python

Process of NLP using Python

Natural Language Processing (NLP) is a subset of Artificial Intelligence where we aim to train computers to understand human languages. Some real-world applications of NLP are chatbots, Siri, and Google Translator. While working on any problem based on NLP, we…

Time Series Forecasting with ARIMA

Time Series Forecasting with ARIMA

Time Series Forecasting means analyzing and modeling time-series data to make future decisions. Some of the applications of Time Series Forecasting are weather forecasting, sales forecasting, business forecasting, stock price forecasting, etc. The ARIMA model is a popular statistical technique…

Data Science Projects

Data Science Projects

As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills. If you’re struggling…

Machine Learning Projects on Text Classification

Machine Learning Projects on Text Classification

Text classification is a machine learning technique used to classify texts based on predefined labels. For example, classifying languages based on a dataset containing different languages with predefined labels. Text classification is used in various problems of natural language processing…

Classification with Neural Networks using Python

Classification with Neural Networks using Python

In machine learning, classification means categorizing the known classes, For example, categorizing the most profitable and non-interested customers from a dataset for advertising a particular product. You must have trained a classification model with a machine learning algorithm before. Here…

Stock Price Prediction with LSTM

Stock Price Prediction with LSTM

LSTM stands for Long Short Term Memory Networks. It is a type of recurrent neural network that is commonly used for regression and time series forecasting in machine learning. It can memorize data for long periods, which differentiates LSTM neural…

AlexNet Architecture using Python

AlexNet Architecture using Python

AlexNet is a popular convolutional neural network architecture that won the ImageNet 2012 challenge by a large margin. It was developed by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton. It is similar to the LeNet-5 architecture but larger and deeper.…

Water Quality Analysis

Water Quality Analysis

Access to safe drinking water is one of the essential needs of all human beings. From a legal point of view, access to drinking water is one of the fundamental human rights. Many factors affect water quality, it is also…

Customer Segmentation with Machine Learning

Customer Segmentation with Machine Learning

In machine learning, customer segmentation is based on the problem of clustering which means finding clusters in a dataset with the same features. Customer segmentation can help a business focus on marketing strategies to increase profits and overall customer satisfaction.…

Fake Currency Detection with Machine Learning

Fake Currency Detection with Machine Learning

Fake Currency Detection is a real problem for both individuals and businesses. Counterfeiters are constantly finding new methods and techniques to produce counterfeit banknotes, which are essentially indistinguishable from real money. At least for the human eye. In this article,…

Emotion Detection Model

Emotion Detection Model

Emotion detection involves recognizing a person’s emotional state – for example, anger, confusion, or deception on vocal and non-vocal channels. The most common technique analyzes the characteristics of the speech signal, with the use of words as additional input, if…

Fashion Recommendation System

Fashion Recommendation System

In this article, I’ll walk you through how to create a fashion recommendation system with Machine Learning that will work like highly personalized online shopping recommendations. But before you go ahead, you need to know what a recommendation system is.…

Gender Classification Model

Gender Classification Model

Indeed, two people can never have the same fingerprints, it is unique in every human. But using fingerprints we can classify gender, whether it’s male or female. In this article, I will take you through a Gender Classification Model which…

Machine Translation Model

Machine Translation Model

Machine Translation is one of the most challenging tasks in Artificial Intelligence that works by investigating the use of software to translate a text or speech from one language to another. In this article, I will take you through Machine…

Face Landmarks Detection

Face landmarks detection with deep learning

Have you ever thought how Snapchat manage to apply amazing filters according to your face? It have been programmed to detect some marks on your face to project a filter according to those marks. In Machine Learning those marks are…

Dog and Cat Classification using CNN

Introduction to CNN Convolutional neural networks (CNN) are primarily used to classify images or identify pattern similarities between them. So a convolutional network receives a normal color image as a rectangular box whose width and height are measured by the…

SMS Spam Detection with Machine Learning

This Article is based on SMS Spam detection classification with Machine Learning. I will be using the multinomial Naive Bayes implementation. This particular classifier is suitable for classification with discrete features (such as in our case, word counts for text classification). It…