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Machine Learning Competitions TOP NEW
This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction The first step in most data analytics projects is reading the data file. In this exercise, you’ll create Series and DataFrame objects, both by hand and by reading data files. Run the code cell below to ... Read More
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Phase 1.4 Develop Frontend UI to Display Enhanced Insights & Predictions TOP NEW
📌 Phase 1.4 - Develop Frontend UI to Display Enhanced Insights & Predictions 1. Objectives ✅ Goal Build an intuitive, responsive React-based UI to visualise enhanced API insights and predictions for informed user decision-making. 🎯 Key Tasks Design Insight Visualisation Components: Create interactive cha... Read More
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Main Challenges of Machine Learning TOP NEW
Main Challenges of Machine Learning In short, since your main task is to select a model and train it on some data, the two things that can go wrong are “bad model” and “bad data”. Let’s start with examples of bad data. Insufficient Quantity of Training Data For a toddler to learn what an apple is, all it takes i... Read More
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Machine Learning Competitions TOP NEW
This notebook is an exercise in the Introduction to Machine Learning course. You can reference the tutorial at this link. Introduction In this exercise, you will create and submit predictions for a Kaggle competition. You can then improve your model (e.g. by adding features) to apply what you’ve learned and mov... Read More
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Type of Machine Learning System TOP NEW
Chapter 1. The Machine Learning Landscape 2 Type of Machine Learning Systems There are so many different types of machine learning systems that it is useful to classify them in broad categories, based on the following criteria: How they are supervised during training (supervised, unsupervised, semi-supervised,... Read More