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Machine learning and cognitive intelligence using python

 Introduction: Linear regression, a fundamental concept in machine learning, serves as a cornerstone for predictive modeling. In this blog post, we'll take a deep dive into linear regression, exploring its principles, applications, and significance in the realm of machine learning. Understanding Linear Regression: At its core, linear regression is a supervised learning algorithm that models the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a linear equation to observed data. The goal is to find the best-fitting line that minimizes the difference between predicted and actual values. Key Components of Linear Regression: 1. Dependent Variable (Y): The variable we aim to predict. 2. Independent Variable(s) (X): Features influencing the dependent variable. 3. Regression Line: The linear equation representing the relationship between X and Y. Relevance in Machine Learning: Linear regression holds immense relevance in variou

Carbon factors

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     future carbon factor  BEIS predicted that the Grid Carbon Factor will be as low as 41 grams CO2e/kWhr by 2035, less than a quarter of what it is today. This reflects increased electricity generation from renewables and the switch away from burning coal in power stations. See the current grid carbon factor.

Reduce Your Carbon

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The 5 Easiest Ways to Reduce Your Carbon        Footprint 1. Eat low on the food chain. This means eating mostly fruits, veggies, grains, and beans. Livestock—meat and dairy—is responsible for 14.5 percent of manmade global greenhouse gas emissions, mainly from feed production and processing and the methane (25 times more potent than CO2 at trapping heat in the atmosphere over 100 years) that beef and sheep belch out. Every day that you forgo meat and dairy, you can reduce your carbon footprint by 8 pounds—that’s 2,920 pounds a year. You can start by joining Meatless Mondays. 2. Choose organic and local foods that are in season. Transporting food from far away, whether by truck, ship, rail or plane, uses fossil fuels for fuel and for cooling to keep foods in transit from spoiling. 3. Buy foodstuffs in bulk when possible using your own reusable container. 4. Reduce your food waste by planning meals ahead of time, freezing the excess and reusing leftovers. 5. Compost your food waste if p

How we can help in reducing carbon

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      How to reduce your carbon footprint Consume local and seasonal products (forget strawberries in winter) Limit meat consumption, especially beef. Select fish from sustainable fishing. Bring reusable shopping bags and avoid products with excessive plastic packaging. Make sure to buy only what you need, to avoid waste.

How we generate carbon

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  Carbon footprint Atmospheric carbon dioxide comes from two primary sources—natural and human activities. Natural sources of carbon dioxide include most animals, which exhale carbon dioxide as a waste product. Human activities that lead to carbon dioxide emissions come primarily from energy production, including burning coal, oil, or natural gas.

ZERO EMISSIONS

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What does net zero emissions mean? Net zero emissions’ refers to achieving an overall balance between greenhouse gas emissions produced and greenhouse gas emissions taken out of the atmosphere. Think of it like a set of scales: producing greenhouse gas emissions tips the scales, and we want to get those scales back into balance, which means no more greenhouse gas can be added to the atmosphere in any given year than is taken out.  Put simply, net zero means cutting greenhouse gas emissions to as close to zero as possible, with any remaining emissions re-absorbed from the atmosphere, by oceans and forests for instance.              After dragging its feet on climate change, the Australian Federal Government has finally commited to reaching net zero emissions by 2050, as has much of the rest of the world. Almost all advanced economies have now strengthened their 2030 targets and committed to roughly halving their emissions this decade.