Category Archives: Uncategorized

5 Foods That You Must Avoid in Breakfast (& Best Foods)

In the morning our body is not only in need of nutrients but is also able to absorb vitamins and minerals better. Which is why it’s important to eat the right breakfast. How energetic you feel throughout the day, depends on how nutritious your breakfast is. A good breakfast satisfies your hunger and avoids overeating…

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The best high-protein dairy for weight loss

are dairy products helpful or harmful for losing weight   what should you look for when deciding which dairy foods to eat in this video I’ll answer   these questions and share my top three tips for choosing dairy products i will   also reveal the number one mistake that you could be made with dairy products let’s…

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Lose Weight Naturally at Home | Dr. Hansaji Yogendra

Namaskar. Weight loss is not a trend but a necessity in the recent growing obesity period. Some tips to reduce weight are first herbs that can help Triphala Brahmi, Garcinia Cambogia, Kudampuli, or Malabar tamarind. These are a few such medicinal plants that would help reduce excess weight. Triphala could be taken between two meals…

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Why Ozempic for weight loss has doctors concerned

And there was a new weight loss trend taking over social media for users looking to shed some pounds. People are turning to diabetes medication, leaving doctors concerned over a potential shortage as demand spikes. ABC’s Stephanie Ramos has the story. This morning Ozempic, a popular medication typically prescribed for people with type 2 diabetes,…

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Justice a Poem

Justice a Poem           Long-Forgotten Costa Rican Tradition Helped Me Melt 167Lbs ᴛɪʀᴇᴅ ᴏꜰ ʙᴇɪɴɢ ᴏᴠᴇʀᴡᴇɪɢʜᴛ ʜᴏᴡ ᴀ ʟᴏɴɢ-ꜰᴏʀɢᴏᴛᴛᴇɴ ᴄᴏꜱᴛᴀ ʀɪᴄᴀɴ ᴛʀᴀᴅɪᴛɪᴏɴ ʜᴇʟᴘᴇᴅ ᴍᴇ ᴍᴇʟᴛ 167ʟʙꜱ ᴏꜰ ꜱᴛᴜʙʙᴏʀɴ ꜰᴀᴛ ɪɴ ᴜɴᴅᴇʀ 1 ʏᴇᴀʀ ᴡɪᴛʜᴏᴜᴛ ᴅɪᴇᴛ ᴏʀ ᴇxᴇʀᴄɪꜱᴇ! ᵢ ᵍₒₜ ᶠᵣₒₘ ₂₉₁ ₚₒᵤₙᵈₛ ₐₙᵈ ₘᵢₛₑᵣₐᵦₗₑ, ₐₗʷₐʸₛ ₜᵢᵣₑᵈ ₐₙᵈ ₕₐᵣᵈₗʸ ₘₒᵥᵢₙᵍ… ₜₒ ₁₂₄,…

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Data Mining with Weka (4.2: Linear regression)

  Hi! This is Lesson 4.2 on Linear Regression. Back in Lesson 1.3, we mentioned the difference between a classification problem and a regression problem. A classification problem is when what you’re trying to predict is a nominal value, whereas in a regression problem what you’re trying to predict is a numeric value. We’ve seen…

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