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Showing posts with label Python. Show all posts
Showing posts with label Python. Show all posts

Learn DevOps for Free during January 2021!

free devops machine learning course
Earlier this month, CloudxLab started a great initiative called #NoPayJan. They made some of their most popular courses completely free of cost, just for the month of January 2021!

Creating UI for your ML model using Gradio

VGG16 model for classifying images
More often than not, you will have a Machine Learning course showing you how to prepare the data, create the model, and evaluate it. You'll have a number in the end, it can be anything from RMSE to loss, accuracy, to tell you how your model performed, and that would be the end of it. But that is not the end of it, because you have another equally important step left, deployment. Now, you may not actually deploy your model to production, but you can definitely test it by creating an UI for others to be able to use it.

Save yourself hours of Data Analysis with this single line of Python code

eda made easy with pandas-profiling
I am sure you have heard of "work smart, not hard." But did you know how to apply it in real life when you are doing Exploratory Data Analysis (EDA) on a dataset?

Learn Image Stitching with OpenCV through this Hands-on Project

free opencv hands-on project
So what is Image Stitching?
According to Wikipedia, image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Here's what it looks like:

A Foolproof Guide to Python Tutorials

free online python for machine learning tutorial
The first thing that you will need to begine your Machine Learning journey is a solid programming background. But then, you must be wondering, "What does he mean by programming background? Do I need to learn the inside out of a programming language? Any language? Will FORTRAN do the work, cause I picked it up in high school?" Let me answer them, one at a time.

Iris Dataset Classification using Radius Neighbors Classifier

iris dataset classification machine learning
The Iris dataset is like the "Hello World" of Machine Learning. This dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems. You can find this dataset on Kaggle, and learn more about it from it's Wikipedia page, and on the UCI Machine Learning Repository.

Uncomplicate Python EDA with this Pandas GUI

gui for pandas
Is Data Science really just for the technical staff? A question that plagues almost every organization thinking about upskilling the digital literacy of their employees. And the simple answer is, No.

17 Resources to transition from Python 2 to Python 3

How to transition from Python 2 to Python 3

Now that Python 2 is sunsetting on January 1, 2020, it's mandatory that some planning goes into the smooth transitioning from Python 2 to Python 3. But what should you consider while planning this transition, where to find the resources?

Learn Python from Microsoft for Free

Learn Python from Microsoft for Free

Python is the top programming language of 2019 as per a report released by IEEE Spectrum. It has quickly become a language of choice not only among the Data Scientists, but in other fields too.

The popularity of the language is mainly because it is not that difficult to learn, has plenty of libraries, allowing developers to interface with machine-learning frameworks like Google-developed TensorFlow, and the Microsoft Cognitive Toolkit (CNTK). But looking at the number of courses available online, and offline, one wonders which one would be an ideal course to master Python. Here comes Microsoft to the rescue!