Tag: machine learning
How to Choose the Right ML Algorithm for Your Project?
Machine learning algorithm are powerful tools for solving real world problems. however, selecting the right algorithm for your project is a skill unto itself. it is important to understand that what type of problem you are trying to solve. in order to make informed decision, there are several key questions that should be addressed such…
Read More10 Common Mistakes in Machine Learning and How to Avoid Them!
Machine learning is a powerful tool for data analysis and prediction however, it is not without its challenges. People often make common mistakes when working with machine learning, understanding these mistakes can help you avoid them and improve the performance of your models. Here are 10 common mistakes in machine learning and how to avoid…
Read More5 Machine Learning Techniques You Need to Know!
Machine learning is a powerful tool for analyzing and predicting data and isbecoming increasingly important in various industries and applications. From healthcare and finance to marketing and customer service, machine learning is being used to automate and improve processes, gaininsights and make better decisions. As a result, knowledge of machine learning techniques is becoming increasingly valuable to professionals in various fields. Whether you are a data scientist,…
Read MoreHow Instagram uses Machine Learning
Instagram is one of the most popular social media applications today. As with any business today, there are many areas where Instagram uses data science. So, if you want to know how Instagram uses Machine Learning, this article is for you. In this article, we’ll take a look at some of the ways Instagram uses machine learning. Below are some of the ways Instagram is using data science for their business. Instagram…
Read MoreLanguage Detection Project using Machine Learning
Speech recognition is a natural language processing task that requires identifying the language of a text or document. Using machine learning for speech recognition was a difficult task a few years ago due to the lack of much data on language, but now that data is readily available, several powerful machine learning models are already available. So, if you want to learn how to train machine learning models for speech recognition, this article is for you. This…
Read MoreProduct Demand Prediction Project Using Machine Learning
You must have learned that demand for a product change as the price of the product changes. To give a real-life example, if a product is not needed, demand decreases when price increases, and demand increases when price decreases. If you want to know how to use machine learning to predict product demand, this article…
Read MoreCalories Burnt Prediction Project using Machine Learning
In this article, we will learn how to develop a machine learning model using Python which can predict the number of calories a person has burnt during a workout based on some biological measures. You can download Calories dataset from here and Exercise dataset from here. we will import all the necessary libraries and also warnings which we take care…
Read MoreExplanation for AI and Data Science by ChatGPT AI
Question to ChatGPT: Explain AI Artificial intelligence (AI) is the ability of a computer program or a machine to simulate human intelligence, including the ability to reason, learn, and solve problems. AI can be applied to a wide range of field, including robotics, natural language processing, computer vision, and machine learning. The goal of AI…
Read MoreImportant Machine Learning Concepts Part – 2
Ensemble Learning Training multiple models with different parameters to solve the same problem. A/B Testing Statistical way of comparing 2+ techniques to determine which technique performs better and also if difference in statistically significant. Baseline Model Simple model/heuristic used as reference point for comparing how well a model is performing. Bias Prejudice or favourite towards…
Read MoreImportant Machine Learning Concepts Part – 1
Features Input data/variables used by the ML model. Feature Engineering Transforming input features to be more useful for the models. e.g., mapping categories to buckets, normalizing between -1 and 1, removing null. Train/Eval/Test Training is data used to optimize the model, evaluation is used to asses the model on new data during training, test is…
Read More