| 1. Congratulations-en_US.srt | 1.1 KB | ||
| 1. Congratulations.mp4 | 1.2 MB | ||
| 1. First Code, Defining Variables-en_US.srt | 5.1 KB | ||
| 1. First Code, Defining Variables.mp4 | 15.9 MB | ||
| 1. Hotel Reservation System-en_US.srt | 38.8 KB | ||
| 1. Hotel Reservation System.mp4 | 262.5 MB | ||
| 1. Installing Anaconda-en_US.srt | 3.3 KB | ||
| 1. Installing Anaconda.mp4 | 23.8 MB | ||
| 1. Introduction to Object Oriented Programming-en_US.srt | 2.1 KB | ||
| 1. Introduction to Object Oriented Programming.mp4 | 2.8 MB | ||
| 1. Introduction-en_US.srt | 3.5 KB | ||
| 1. Introduction.mp4 | 29.4 MB | ||
| 1. Lists 1-en_US.srt | 5.7 KB | ||
| 1. Lists 1.mp4 | 18.7 MB | ||
| 1. Procedural Programming-en_US.srt | 2.9 KB | ||
| 1. Procedural Programming.mp4 | 7 MB | ||
| 1. Samples and Populations-en_US.srt | 4.8 KB | ||
| 1. Samples and Populations.mp4 | 71.1 MB | ||
| 1. Scatter Plot-en_US.srt | 7.7 KB | ||
| 1. Scatter Plot.mp4 | 26.5 MB | ||
| 1. What is Decision Trees-en_US.srt | 4.2 KB | ||
| 1. What is Decision Trees.mp4 | 14.3 MB | ||
| 1. What is Linear Regression-en_US.srt | 11.8 KB | ||
| 1. What is Linear Regression.mp4 | 21 MB | ||
| 1. What is Machine Learning-en_US.srt | 9.3 KB | ||
| 1. What is Machine Learning.mp4 | 28.3 MB | ||
| 1. What is Model Evaluation-en_US.srt | 3.3 KB | ||
| 1. What is Model Evaluation.mp4 | 7 MB | ||
| 1. What is NLP-en_US.srt | 2.3 KB | ||
| 1. What is NLP.mp4 | 5.1 MB | ||
| 1. if Statement-en_US.srt | 6.3 KB | ||
| 1. if Statement.mp4 | 13.4 MB | ||
| 10. Project 4 Stock Market Analysis and Forecasting 2-en_US.srt | 11.4 KB | ||
| 10. Project 4 Stock Market Analysis and Forecasting 2.mp4 | 51.5 MB | ||
| 10. Solution to the Project 3-en_US.srt | 27.5 KB | ||
| 10. Solution to the Project 3.mp4 | 164.7 MB | ||
| 10. pip install-en_US.srt | 2.5 KB | ||
| 10. pip install.mp4 | 8.1 MB | ||
| 11. Project 4 Stock Market Analysis and Forecasting 3-en_US.srt | 7.2 KB | ||
| 11. Project 4 Stock Market Analysis and Forecasting 3.mp4 | 37.5 MB | ||
| 12. Project 4 Stock Market Analysis and Forecasting 4-en_US.srt | 13.5 KB | ||
| 12. Project 4 Stock Market Analysis and Forecasting 4.mp4 | 60.3 MB | ||
| 2. Bar Chart-en_US.srt | 4.5 KB | ||
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| 2. Correlation & Correlation Coefficient-en_US.srt | 11.2 KB | ||
| 2. Correlation & Correlation Coefficient.mp4 | 34 MB | ||
| 2. Functions-en_US.srt | 10.4 KB | ||
| 2. Functions.mp4 | 26.8 MB | ||
| 2. Introduction to Jupyter Notebook-en_US.srt | 11.3 KB | ||
| 2. Introduction to Jupyter Notebook.mp4 | 39.6 MB | ||
| 2. List Comprehension-en_US.srt | 2 KB | ||
| 2. List Comprehension.mp4 | 5.6 MB | ||
| 2. Lists 2-en_US.srt | 6.7 KB | ||
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| 2. MAE, MSE, RMSE-en_US.srt | 10.2 KB | ||
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| 2. Objects and Classes-en_US.srt | 6.6 KB | ||
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| 2. Supervised & Unsupervised Learning-en_US.srt | 5.8 KB | ||
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| 2. if else Statement-en_US.srt | 2.2 KB | ||
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| 3. Blackjack-en_US.srt | 37.9 KB | ||
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| 3. Lambda Function-en_US.srt | 4 KB | ||
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| 3. Lists 3-en_US.srt | 4.3 KB | ||
| 3. Lists 3.mp4 | 19.6 MB | ||
| 3. R Squared-en_US.srt | 15.9 KB | ||
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| 3. Removing Stopwords-en_US.srt | 6.9 KB | ||
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| 3. String format() Method-en_US.srt | 5.4 KB | ||
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| 4. Create Your Own Module-en_US.srt | 8.4 KB | ||
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| 4. Dictionaries-en_US.srt | 3.9 KB | ||
| 4. Dictionaries.mp4 | 18.6 MB | ||
| 4. Document Term Matrix (DTM)-en_US.srt | 10.4 KB | ||
| 4. Document Term Matrix (DTM).mp4 | 32.2 MB | ||
| 4. Feature Importance-en_US.srt | 4.6 KB | ||
| 4. Feature Importance.mp4 | 9.7 MB | ||
| 4. Getting User Input-en_US.srt | 2.8 KB | ||
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| 4. Inheritance, Overriding, Extending-en_US.srt | 7.3 KB | ||
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| 4. Nested Conditionals-en_US.srt | 5.7 KB | ||
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| 4. n vs n-1, Biased & Unbiased Estimators, Bessel's Correction-en_US.srt | 25.8 KB | ||
| 4. n vs n-1, Biased & Unbiased Estimators, Bessel's Correction.mp4 | 95 MB | ||
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| 5. Encapsulation, Private & Protected Members-en_US.srt | 11 KB | ||
| 5. Encapsulation, Private & Protected Members.mp4 | 42.8 MB | ||
| 5. How to do the Projects in this Course-en_US.srt | 2 KB | ||
| 5. How to do the Projects in this Course.mp4 | 8.7 MB | ||
| 5. Project 5 Twitter Sentiment Analysis-en_US.srt | 15.7 KB | ||
| 5. Project 5 Twitter Sentiment Analysis.mp4 | 99.5 MB | ||
| 5. Standard Deviation-en_US.srt | 8.6 KB | ||
| 5. Standard Deviation.mp4 | 72.5 MB | ||
| 5. for Loop-en_US.srt | 6.1 KB | ||
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| 6. More about Encapsulation-en_US.srt | 8.4 KB | ||
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| 6. Percentiles and Quartiles-en_US.srt | 12 KB | ||
| 6. Percentiles and Quartiles.mp4 | 28.9 MB | ||
| 6. Solution to the Project 1-en_US.srt | 9.3 KB | ||
| 6. Solution to the Project 1.mp4 | 95.3 MB | ||
| 6. Tuples-en_US.srt | 2.4 KB | ||
| 6. Tuples.mp4 | 7.6 MB | ||
| 6. while Statement-en_US.srt | 3.1 KB | ||
| 6. while Statement.mp4 | 5.8 MB | ||
| 7. Indentation, Displaying Variables, Equal Operator-en_US.srt | 5.5 KB | ||
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| 7. Polymorphism-en_US.srt | 5 KB | ||
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| 7. Sets-en_US.srt | 2.7 KB | ||
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| 7. Solution to the Project 2-en_US.srt | 10.6 KB | ||
| 7. Solution to the Project 2.mp4 | 59.5 MB | ||
| 8. Abstraction-en_US.srt | 9.6 KB | ||
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| 8. Arithmetic and Comparison Operators-en_US.srt | 5.1 KB | ||
| 8. Arithmetic and Comparison Operators.mp4 | 12.1 MB | ||
| 8. Nested Loops-en_US.srt | 4.5 KB | ||
| 8. Nested Loops.mp4 | 13.6 MB | ||
| 8. Pandas Data Frames-en_US.srt | 12.5 KB | ||
| 8. Pandas Data Frames.mp4 | 41.9 MB | ||
| 9. Importing Modules-en_US.srt | 3.9 KB | ||
| 9. Importing Modules.mp4 | 9.2 MB | ||
| 9. Project 4 Stock Market Analysis and Forecasting 1-en_US.srt | 9.3 KB | ||
| 9. Project 4 Stock Market Analysis and Forecasting 1.mp4 | 32.5 MB | ||
| 9. break, continue, pass Statements-en_US.srt | 4 KB | ||
| 9. break, continue, pass Statements.mp4 | 7.5 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| OOP Project 1 Hotel Reservation System.html | 204.8 B | ||
| OOP Project 2 Blackjack.html | 102.4 B | ||
| Project 1 Mad Lib Generator.html | 102.4 B | ||
| Project 2 Dice Simulator.html | 204.8 B | ||
| Project 3 Number Guessing Game.html | 204.8 B | ||
| histogram.csv | 4.8 KB | ||
| si.xlsx | 9.3 KB | ||
| stocker.py | 41.9 KB | ||
| twitter.xlsx | 4.7 MB | ||
| variance.csv | 2 MB | ||
| ▲ 163 total files | |||
Python 2021 - Mastering Object Oriented Programming (updated 6/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.50 GB | Duration: 9h 15m
What you'll learn
Python Programming Language.
Jupyter Notebook.
Procedural and Object Oriented Paradigms
Requirements
You don't need any prior knowledge in Python programming or programming in general. All you need is a computer with internet connection.
Your operating system shouldn't matter either. I am using a Windows 10 computer, however Anaconda distribution we will be using in this course has Mac OS and Linux versions as well.
Description
Within this course, I am sharing my years of production experience with Python.
I have been using Python at my actual work on a daily basis to perform machine learning and natural language processing applications. Therefore, what you will learn in this course is not coming from a teacher who has never used it before in the field, but someone who is actually a practitioner of it. I know what issues you will be dealing with in real life, I know what is important for you to learn and what is not a priority. I built this course so that you should be completely ready to jump into the water at work, or put Python as an expert level in your CVs. I am also showing you tricks to help you pass the Python tests you will potentially get as a part of your job interviews.
This is also not a course you will get and never hear from me again. Anytime in the future, simply write your Python questions to the public course Q&A, I will either add a lesson to answer your question, or quickly type the answer to help you.
Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com
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