Apple has just announced the date of its September event when it is about to launch the new iPhone 13. It is currently the center of attention on the stock market. Stock market analysis is one of the popular applications…
There are so many social media platforms today where you will find so many content creators in so many types of fields. As a social media consumer, the number of followers you have may not be of interest to you,…
The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the…
In Data Science, when we are working on a problem whose output depends on periods or intervals, it means that we are working on a problem based on a time series analysis. If you want to work on some data…
Passive Aggressive Regression belongs to the category of online learning in machine learning. It is not one of the most commonly used machine learning algorithms, but it can nonetheless be used to achieve efficient results that solve regression-based problems. So,…
Microsoft is today one of the largest technology companies with more than 163,000 employees worldwide. It is known for the Windows operating system which is one of the most popular computer operating systems. If you want to learn how to…
Video game sales analysis is a popular problem statement on Kaggle. You can work on this problem to analyze the sales of more than 16,500 games or you can also train a machine learning model for forecasting video game sales.…
Regression is a machine learning technique used in finance, investing, and other related fields to determine the relationship between a dependent variable and a series of independent variables. Simply put, when we want to predict the future values of a…
Dogecoin is the reason for the recent drop in bitcoin prices. The price of Dogecoin is currently very cheap compared to bitcoin, but some financial experts, including Tesla’s CEO Elon Musk, claiming that we will see a rise in the…
Currency exchange is one of the biggest financial markets. Currently, 1 United States dollar is equivalent to 73.02 Indian rupees. Many factors affect exchange rates such as economic, political and even psychological factors. The prediction of the currency exchange rate…
Forecasting sales is a difficult problem for every type of business, but it helps determine where a business should spend more on advertising and where it should cut spending. In this article, I will walk you through the task of…
Polynomial regression is a machine learning algorithm that is used to train a linear model on non-linear data. Sometimes your data is much more complex than a straight line, in such cases, it is not a good option to train…
A company should always set a goal that should be achievable, otherwise, employees will not be able to work to their best potential if they find that the goal set by the company is unachievable. The task of profit prediction…
In graduate studies, many students find it difficult to achieve good grades because they do not get much support in higher education courses compared to the support that students receive in schools. We can use machine learning for the student…
Tesla is an amAmericanlectric vehicle company whose aim is to accelerate the world’s transition towards sustainable energy. A few days back the rise in the stock prices of Tesla made Elon Musk the richest person in the world. Predicting stock…
Linear and logistic regression are excellent statistical techniques used as machine learning algorithms to understand the relationship between features and labels in machine learning. In this article, I will take you through the difference between linear regression and logistic regression…
In this article, I am going to walk you through how we can train a model that will help us predict car prices with Machine Learning using PyTorch. The dataset I’m going to use here to predict car prices is…
In this article, I will use the algorithm provided by Facebook, popularly known as Facebook Prophet Model. I will use the Facebook Prophet Model for Daily Births Forecasting using Machine Learning. The Data I will use here is a very…
PyTorch is a Python library that facilitates the creation of deep learning models. PyTorch is very flexible and easy to use for deep learning tasks. The accessibility and friendliness of early adopters in the years that followed its first publication,…
Stock Price Prediction means to determine the future value of the stocks or other financial instruments of an organisation. If you master the art to predict stock prices, you can earn a lot by investing and selling at the right…
In this Article I will create a Linear Regression model and a Decision Tree Regression Model to Predict Google Stock Price using Machine Learning and Python. Download the data set Import pandas to import a CSV file: To get the…