Cold Coffee

-

       Coffee is one drink that we really enjoy and when we’re having the summers how about having it cold ! Now , we’ll look into making the Classic Cold Vanilla Coffee .


  If you are a coffee lover, then here is a drink recipe that you would love to relish  for sure! Cold Coffee is a bliss for coffee lovers and is one of the most popular choices for many to beat the scorching summer heat. Here is the recipe of cold coffee, which is a popular all around the world for its delicious taste and aroma. Here is my favourite way of making it .

Ingredients:

1. Boiled cum chilled milk.
2. Chocolate sauce.
3. Sugar.
4. Coffee powder.
5. Cocoa powder.
6. Vanilla Ice cream.

Instructions:

1.To make the Coffee Base ,Take 1 cup of Boiled Milk and add Instant Coffee granules
in it.
2. Add few cubes of ice to a Jar.
3. You can use toned milk ,almond milk,full cream milk,soy milk of your choice.
4. Pour the prepared coffee and 1/2 cup of chilled milk.
5. Add 2 teaspoon of powder sugar.
6. Add 1 scoop of vanilla ice cream or quarter teaspoon of Vanilla Essence of Your choice
7. Add some chocolate Syrup and Cocoa powder(Optional).
8. Mix them Well.
9. Now, the Classic Cafe Style Cold Coffee is ready to be served.
 
Location: Chennai, Tamil Nadu, India

Comments

Post a Comment

Popular posts from this blog

Windows10 Essentials For Every Students out There

-
Image
Follow us on: Windows10 Essentials For Every Students out There    1. Prezi :                 The presentation software that uses Motion, Zoom and Spatial relationships to bring your ideas to life and make you a great presenter. This software is absolutely free, though there is no desktop app for this and can be created only online. However to get the feel of desktop app, can create it using our browser. Link : https://prezi.com/     2. Canva :         This software is multipurpose which can be used to create graphical designs, posters, resume, Instagram posts, including presentations for free (most of the layouts). From Q2 2020, Desktop App Also Available.     Link : https://www.canva.com/en_in/ 3.Greenshot :    This is a screenshot tool can be used at any mome...
Read more

A GENTLE INTRODUCTION TO MACHINE LEARNING CONCEPTS

-
Image
  Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Some Machine Learning Methods Machine learning algorithms are often categorized as supervised or unsupervised. Let's see them in brief with some illustrations. Supervised Learning As the name indicates, supervised learning involves machine learning algorithms that learn under the presence of a supervisor. Learning unde...
Read more

AN OVERVIEW ON MACHINE LEARNING ALGORITHMS

-
Image
If you are learning machine learning for getting a high profile data science job then you can’t miss out learning these best machine learning algorithms. Here, we will go through classification and regression algorithms. While there are many more algorithms that are present in the arsenal of machine learning, our focus will be on the most popular machine learning algorithms. These ML algorithms are quite essential for developing predictive modeling and for carrying out classification and prediction. These ML algorithms are the most useful for carrying out prediction and classification in both supervised as well as unsupervised scenarios. REGRESSION: Before knowing what is linear regression, let us get ourselves accustomed to regression. Regression is a method of modelling a target value based on independent predictors. This method is mostly used for forecasting and finding out cause and effect relationship between variables. Regression techniques mostly differ based on the number of ...
Read more