Tag Machine Learning Project

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…

Time Series Analysis using Python

Time Series Analysis using Python

Time series analysis means analyzing and finding patterns in a time series dataset. A time-series dataset is a sequence of data collected over an interval of time. Stock price data, monthly sales data, daily rainfall data, hourly website traffic data…

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…

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…