•In machine learning, we many times come across data which are not in numbers such as colors, names, etc.
•Though it seems like a good way of collecting information, categorical data is a little difficult to work.
As we discussed, machine learning algorithms cannot directly work with categorcial data as they operate on numbers.
Some work on the data before we can feed it to a machine learning model so that it can operate on it.
The process of turning categorical data into usable, machine-learning ready, mathematical data is called categorical encoding.
What is data pre-processing?
GPUs are fast because they have high-bandwidth memories and hardware that performs floating-point arithmetic at significantly higher rates than conventional CPUs
Processing large blocks of data is basically what Machine Learning does, so GPUs come in handy for ML tasks. TensorFlow and Pytorch are examples of libraries that already make use of GPUs. Now with the RAPIDS suite of libraries, we can also manipulate data frames and runmachine learning algorithms on GPUs as well.
Its True, Trade Show marketing raise awareness not only for the products and services but also for the company as well, it helps in networking and building relationships, launching of new product and also to build your database as well.
•Scikit-learn is a machine learning application for the used in Python Programming language.
• It is used in tasks like classification ,regression and clustering algorithms.
•It is built on NumPy, SciPy, and matplotlib
•It is written in C,C++,Python,Cython
•conda install -c intel scikit-learn
Supervised learning is when the model is getting trained on a labelled dataset. Labelled dataset is one which have both input and output parameters. In this type of learning both training and validation datasets are labelled as shown in the figures below.Unsupervised learning is a type of machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses.
From histograms to scatterplots, matplotlib lays down an array of colors, themes, palettes, and other options to customize and personalize our plots. matplotlib is useful whether you’re performing data exploration for a machine learning project or simply want to create dazzling and eye-catching charts.
Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.”
Here are the Visualization We can Design using matplotlib
Line Chart and Subplots
Pandas object types:
Pandas have two object types:
Series: Series is a type of list in pandas that can take integer values, string values, double values, and more.
Dataframe: Dataframe can be made of more than one series or we can say
that a data frame is a collection of series that can be used to analyze.
An informative article, AI has brought a revolutionary change. As you mentioned, Virtual Personal assistants, Goods Recommendations and predictions, it is being applied to various industries and sectors today, be it healthcare, social media, marketing, customer experience and relationship management, transportation, media and entertainment. It aids in enhancing their productivity and business growth. For more information, have a look - https://youtu.be/whtF56aWViQ
Product packaging refers to the process where the businesses focus on to create the exterior side of the product, so as to appeal and attract customers and also to protect it from being damaged. It includes choices in a material, form, graphics, fonts and colors etc. that are used for wrapping a box, bottle or any kind of container.
Why we always say treat customers as king? Is there any specific reason for that?
So I would say, Yes absolutely there is a reason because do you know what happens is when your customers didn’t like the products and services you are serving to them, your product reaches to the decline phase, rather than the growth one, because they are not getting what they want from you.
So whenever you are serving anything to your customers, keep these points in mind, that; do proper market research first before launching any product to the market, take the proper customer surveys…