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9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
9. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt 74.6 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
2. K-Nearest Neighbor/7. Effect of K.srt 44.6 MB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).srt 39.5 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.5 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.srt 34.0 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
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10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 69.8 MB
3. Python Variables and Data Types/5. Strings.mp4 60.4 MB
2. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 56.4 MB
6. Conditional Statements/4. Else if, for Brief – ELIF.mp4 55.8 MB
8. Python Sequences/7. Dictionaries.mp4 43.8 MB
10. Advanced Python tools/14. Sources of Financial Data.mp4 40.7 MB
7. Python Functions/2. Creating a Function with a Parameter.mp4 40.0 MB
8. Python Sequences/1. Lists.mp4 39.6 MB
8. Python Sequences/3. Using Methods.mp4 39.3 MB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 38.6 MB
9. Using Iterations in Python/8. Iterating over Dictionaries.mp4 31.1 MB
8. Python Sequences/6. Tuples.mp4 30.9 MB
9. Using Iterations in Python/3. While Loops and Incrementing.mp4 29.9 MB
9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.mp4 29.1 MB
3. Python Variables and Data Types/1. Variables.mp4 27.9 MB
9. Using Iterations in Python/4. Create Lists with the range() Function.mp4 27.0 MB
7. Python Functions/3. Another Way to Define a Function.mp4 26.5 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 25.2 MB
9. Using Iterations in Python/1. For Loops.mp4 24.7 MB
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9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB
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13. Calculating expected loss/1. Calculating expected loss.mp4 132.9 MB
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9. PD model monitoring/3. Population stability index preprocessing.mp4 110.4 MB
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5. PD Model Data Preparation/28. Data preparation. Preprocessing continuous variables creating dummies (Part 3).mp4 105.9 MB
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4. General preprocessing/3. Preprocessing few continuous variables.mp4 87.8 MB
8. Applying the PD Model for decision making/8. Setting cut-offs.mp4 79.7 MB
7. PD model validation/3. Evaluation of model performance accuracy and area under the curve (AUC).mp4 79.6 MB
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7. PD model validation/5. Evaluation of model performance Gini and Kolmogorov-Smirnov.mp4 73.3 MB
5. PD Model Data Preparation/15. Data preparation. Preprocessing discrete variables visualizing results.mp4 69.6 MB
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04 Git/035 Git Basics.mp4 318.0 MB
05 Site 2 - Personal Portfolio/040 Displaying Objects.mp4 270.1 MB
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03 Site 1 - Password Generator/024 URLs.mp4 180.8 MB
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15 - Data Visualization/Installing Modules for Visualization.mp4 248.5 MB
1 - Welcome to the Python Programming Course! Thank you for joining me/Welcome to this Python Course! What you need to know before starting..mp4 214.8 MB
15 - Data Visualization/Visualization Part 2.mp4 200.2 MB
14 - All About Object Oriented Programming (OOP)/Operator Overloading.mp4 190.8 MB
17 - Debugging/Commands for Debugging Part 2.mp4 180.6 MB
15 - Data Visualization/Visualization Part 1.mp4 177.4 MB
16 - Numpy Library/Useful Functions from the Numpy Library.mp4 164.5 MB
14 - All About Object Oriented Programming (OOP)/Class Inheritance Part 1.mp4 132.0 MB
18 - Regular Expressions/Patterns.mp4 127.8 MB
14 - All About Object Oriented Programming (OOP)/Class Methods Part 2.mp4 114.7 MB
16 - Numpy Library/Creating Numpy Objects.mp4 106.4 MB
17 - Debugging/Commands for Debugging Part 1.mp4 105.0 MB
15 - Data Visualization/Visualization Part 3.mp4 90.4 MB
15 - Data Visualization/Pandas Library.mp4 89.6 MB
14 - All About Object Oriented Programming (OOP)/Class Definition and Object Instantiation.mp4 87.5 MB
13 - Modules and Packages/Built-in Modules.mp4 78.2 MB
18 - Regular Expressions/Setting the Search Parameters.mp4 71.1 MB
2 - Setting Up Python On Your Computer/Get Started by Installing Python 3.5.mp4 67.9 MB
17 - Debugging/The pdb Module.mp4 67.0 MB
11 - Data Input/Data Input Setup and Input Function.mp4 65.9 MB
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[2. Admin Panel/[webinar/1. Первый спринт.mp4 382.7 MB
[2. Admin Panel/[webinar/2. Конец модуля Admin Panel.mp4 293.5 MB
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[2. Admin Panel/[2. Sprint Admin Panel - 2/5. Nginx/1. Обработка запросов в Production-среде.pdf 1.4 MB
[2. Admin Panel/[2. Sprint Admin Panel - 2/4. Docker/1. Что такое Docker и зачем он нужен.pdf 1.4 MB
[2. Admin Panel/[1. Sprint Admin Panel - 1/5. Django. Пробуждение силы/8. Применение миграций.pdf 1.3 MB
[2. Admin Panel/[2. Sprint Admin Panel - 2/2. Django. Скрытая угроза/3. Отладка запросов.pdf 1.3 MB
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[2. Admin Panel/[2. Sprint Admin Panel - 2/2. Django. Скрытая угроза/2. Django-ORM.pdf 996.9 kB
[2. Admin Panel/[1. Sprint Admin Panel - 1/5. Django. Пробуждение силы/10. Админка для кинотеатра.pdf 993.5 kB
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3. Третья неделя/Вебинар 1.mp4 212.4 MB
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2. Вторая неделя/4. API. Как работает интернет/1.1.mp4 113.0 MB
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5. Пятая неделя/2. Итераторы и генераторы/1.3.mp4 103.2 MB
5. Пятая неделя/4. Обзорно об интернете - http-запросы, html-страницы и requests/1.1.mp4 94.5 MB
5. Пятая неделя/5. API/1.2.mp4 85.9 MB
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5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
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7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
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5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
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5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
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5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
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23. Bonus Extra Bits/16. AMA - 100,000 Students!!.mp4 900.9 MB
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08 Object Oriented Programming/054 OOP - Part 2 - Classes.mp4 74.4 MB
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