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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems. Buy ads: https://telega.io/c/epythonlab
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A python tutorial to read and write JSON in python with demonstration.
https://youtu.be/7pD9GpiIxgM
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Could you solve this problem at Hackerrank?
#Python #SolveProblem #BookDrawing
https://www.hackerrank.com/challenges/drawing-book/problem
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N.B: You can select more than two answers in which you think there are more than 1 answers in the options.
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Object oriented Programming is an important concept that must be known by all computer coders.
#MULTISELECTQUIZ #OOPTERMINOLOGY
Q: Please select the true concepts of the OOP terminology?
Methods encode behavior of an object and are represented by functions - 28
👍👍👍👍👍👍👍👍 58%
A programming language can be either object-oriented or procedural, but not both - 11
👍👍👍 22%
Attributes encode the state of an object and are represented by variables - 11
👍👍👍 22%
Object and class are different terms describing the same concept - 7
👍👍 14%
Object is an abstract template describing the general states and behaviors - 7
👍👍 14%
Encapsulation is a software design practice of bundling the data and the methods that operate on that data. - 11
👍👍👍 22%
👥 48 people voted so far.
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Don't miss it out?
There are three tracks in this scholarship
1. Cloud
2. Data
3. Artificial Intelligence
The application period for 15.000 free Udacity Scholarships in Data Science is now open! Please apply by November 16th, 2020 via https://www.udacity.com/bertelsmann-tech-scholarships.
Application will be open from September 15th, 2020 until November 16th, 2020. Scholarship recipients will be selected in November 2020 and will start the online course in December 2020.
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Watch "A Python tutorial: A Python code to create a file Part II" on YouTube
https://youtu.be/woqHFEtYk-E
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What is Pandas?
Pandas is an open source library, providing high-performance, easy-to-use data structures and data analysis tools for Python.
The DataFrame is one of Pandas' most important data structures. It's basically a way to store tabular data where you can label the rows and the columns. One way to build a DataFrame is from a dictionary and also importing from CSV(comma-separated value).
#KeyNote #Pandas #DataFrame #DataScience
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What is data science?
- Data science is the study of large quantities of data, which can reveal insights that help organizations make strategic choices.
- There are many paths to a career in data science; most, but not all, involve a little math, a little science, and a lot of curiosity about data.
- New data scientists need to be curious, judgemental and argumentative.
- Why data science is considered the sexiest job in the 21th century, paying high salaries for skilled workers.
#KeyNote #DataScience
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#artificialintelligence #machinelearning #deeplearning #ai #ml #dl #aimemes #mlmemes
Original: Machine Learning TechHub
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#KeyNote
#ANN #Keras #DEEPLEARNING #AI #TensorFlow
Keras is a deep learning API written in Python that can run on top of TensorFlow. It is quite popular among deep learning users because of its ease of use. TensorFlow is an end-to-end open-source deep learning framework developed and maintained by Google. Similar to Numpy, TensorFlow allows for mathematical computations and manipulation between numerical tensors, runs on CPUs, GPUs, and TPUs. Keras was incorporated in TensorFlow 2.0 (the recent version) as tf.keras (high-level API) and can run on the aforementioned hardwares. TensorFlow also allows for low-level operations with the TensorFlow Core API.
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For data scientists looking forward into the following github repo
This may help you https://github.com/Noh2011/HamoyeIntern
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Hands-on Machine Learning - NUMBER ONE GUIDE
https://www.lpsm.paris/pageperso/has/source/Hand-on-ML.pdf
@python4fds
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🎲 Quiz 'Python List'
What are the output of a, b and c respectively?
🖊 1 question · ⏱ 1 min
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Fuzzy matching Algorithm:
The process of automatically finding text strings that are very similar to the target string. In general, a string is considered "closer" to another one the fewer characters you'd need to change if you were transforming one string into another. So "apple" and "snapple" are two changes away from each other (add "s" and "n") while "in" and "on" and one change away (rplace "i" with "o"). You won't always be able to rely on fuzzy matching 100%, but it will usually end up saving you at least a little time.