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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Exploratory Data Analysis in Python
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~Get Your Files Here !/3. Multivariate analysis/1. Pairplots.mp4 129.9 MB
~Get Your Files Here !/4. Some useful libraries/1. Sweetviz.mp4 117.9 MB
~Get Your Files Here !/3. Multivariate analysis/2. Correlation matrix and histograms.mp4 98.9 MB
~Get Your Files Here !/2. Univariate analysis/1. A first sight to our dataset.mp4 86.4 MB
~Get Your Files Here !/3. Multivariate analysis/3. Stacked histograms.mp4 82.0 MB
~Get Your Files Here !/4. Some useful libraries/2. Pandas profiling.mp4 71.8 MB
~Get Your Files Here !/2. Univariate analysis/2. Summarization.mp4 56.8 MB
~Get Your Files Here !/2. Univariate analysis/3. Histograms.mp4 41.0 MB
~Get Your Files Here !/2. Univariate analysis/4. Boxplots.mp4 40.0 MB
~Get Your Files Here !/1. Introduction/5. Jupyter notebooks.mp4 36.3 MB
~Get Your Files Here !/1. Introduction/2. What is EDA.mp4 29.5 MB
~Get Your Files Here !/1. Introduction/1. Introduction to the course.mp4 12.5 MB
~Get Your Files Here !/4. Some useful libraries/1.1 Sweetviz.ipynb 4.7 MB
~Get Your Files Here !/4. Some useful libraries/2.1 Pandas profiling.ipynb 3.0 MB
~Get Your Files Here !/3. Multivariate analysis/1.1 Pairplots.ipynb 925.9 kB
~Get Your Files Here !/3. Multivariate analysis/3.1 Stacked histograms.ipynb 303.6 kB
~Get Your Files Here !/3. Multivariate analysis/2.1 Correlation matrix.ipynb 258.4 kB
~Get Your Files Here !/2. Univariate analysis/3.1 Histograms.ipynb 107.9 kB
~Get Your Files Here !/1. Introduction/3.1 sample_dataset.csv 99.4 kB
~Get Your Files Here !/2. Univariate analysis/1.1 A first sight to our dataset.ipynb 77.3 kB
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09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
05. Python Exercises/2. Solutions.mp4 114.7 MB
01. Introduction/1. What is Data analysis.mp4 100.4 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
06. Numpy/1. Creating NumPy array.mp4 89.3 MB
08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
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01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
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01. Introduction/3. Course FAQ.mp4 77.2 MB
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08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
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04.Advanced Applications/Modules & Packages.mov 7.7 MB
02.Getting Started/Built_in_Functions_.mov 6.5 MB
05.Wrapping Up/Real World Examples.mov 6.1 MB
04.Advanced Applications/Reading Files.mov 5.5 MB
02.Getting Started/Control Statements.mov 4.6 MB
03.Intermediate/Defining a Class.mov 4.2 MB
02.Getting Started/Data_Types_Overview.mov 4.0 MB
03.Intermediate/Advanced Data Types.mov 3.5 MB
03.Intermediate/Type_Splicing.mov 3.5 MB
02.Getting Started/Using Loops.mov 2.9 MB
03.Intermediate/Defining Functions.mov 2.9 MB
02.Getting Started/Installing_Python.mov 2.7 MB
03.Intermediate/Function Parameters.mov 2.2 MB
02.Getting Started/Hello_World.mov 1.9 MB
03.Intermediate/Object Methods.mov 1.5 MB
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05.Wrapping Up/Wrap Up.mov 800.8 kB
06.Credits/About the Author.mov 739.6 kB
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1. ChatGPT Clone with Tkinter/10. Buttons.mp4 74.1 MB
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1. ChatGPT Clone with Tkinter/9. Chat Entry.mp4 20.2 MB
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1. ChatGPT Clone with Tkinter/2. Install Python.mp4 11.8 MB
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1. Introduction/4. Installing and setting up pycharm.mp4 185.2 MB
1. Introduction/2. Setting up python on mac.mp4 88.1 MB
9. Working with tests/1. Working with tests.mp4 78.6 MB
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6. Navigating and searching like a pro/2. Navigating in project.mp4 65.6 MB
7. Using version control in Pycharm/3. Working and committing to git.mp4 62.6 MB
5. Refactoring code/4. Making code more readable by extracting.mp4 53.7 MB
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1. Introduction/1. Understanding and downloading the required tools.mp4 46.7 MB
4. Using editor like a pro/1. How does pycharm auto import work How can you remove unused imports.mp4 42.0 MB
5. Refactoring code/2. Changing signatures.mp4 40.5 MB
2. Introduction and setting up pycharm/5. How to change themes.mp4 37.2 MB
4. Using editor like a pro/5. Postfix completion.mp4 37.1 MB
4. Using editor like a pro/6. Expanding and collapsing code.mp4 36.2 MB
4. Using editor like a pro/4. Moving your code around.mp4 35.3 MB
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6. Navigating and searching like a pro/3. Searching within the file.mp4 31.3 MB
6. Navigating and searching like a pro/1. Navigating through a source file.mp4 31.2 MB
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~Get Your Files Here !/14 - Hamiltonian Cycles - Travelling Salesman Problem/003 Travelling salesman problem implementation.mp4 107.5 MB
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~Get Your Files Here !/06 - Trie Data Structures (Prefix Trees)/008 Tries data structure implementation III.mp4 71.2 MB
~Get Your Files Here !/10 - Substring Search Algorithms/004 Rabin-Karp algorithm implementation.mp4 70.3 MB
~Get Your Files Here !/10 - Substring Search Algorithms/003 Rabin-Karp algorithm introduction.mp4 68.8 MB
~Get Your Files Here !/09 - Interview Questions - Boggle Game/003 Boggle game with ternary search tree implementation II.mp4 68.7 MB
~Get Your Files Here !/11 - Topological Ordering/001 What is topological ordering.mp4 60.2 MB
~Get Your Files Here !/13 - Strongly Connected Components (Tarjan's Algorithm)/003 Tarjan algorithm implementation.mp4 59.3 MB
~Get Your Files Here !/04 - Splay Tree Data Structure/001 What are splay trees.mp4 58.0 MB
~Get Your Files Here !/04 - Splay Tree Data Structure/005 Splay trees implementation III.mp4 57.1 MB
~Get Your Files Here !/06 - Trie Data Structures (Prefix Trees)/006 Tries data structure implementation I.mp4 53.2 MB
~Get Your Files Here !/14 - Hamiltonian Cycles - Travelling Salesman Problem/004 TSP and stack memory visualization.mp4 50.1 MB
~Get Your Files Here !/13 - Strongly Connected Components (Tarjan's Algorithm)/004 Applications of strongly connected components.mp4 48.5 MB
~Get Your Files Here !/02 - Fenwick Trees (Binary Indexed Trees)/001 What are Fenwick trees.mp4 47.8 MB
~Get Your Files Here !/07 - Interview Questions - IP Routing with Tries/002 Longest common prefix implementation.mp4 46.8 MB
~Get Your Files Here !/03 - LRU Caches/004 LRU cache implementation II.mp4 46.8 MB
~Get Your Files Here !/10 - Substring Search Algorithms/007 Knuth-Morris-Pratt algorithm implementation.mp4 46.7 MB
~Get Your Files Here !/02 - Fenwick Trees (Binary Indexed Trees)/005 Fenwick trees implementation II.mp4 44.5 MB
~Get Your Files Here !/10 - Substring Search Algorithms/005 Knuth-Morris-Pratt algorithm introduction.mp4 43.2 MB
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13 - Live trading/002 Live trading Example.mp4 188.3 MB
09 - Advanced money management/003 Training Stop loss.mp4 138.0 MB
12 - Run structure/002 Run function.mp4 124.6 MB
09 - Advanced money management/004 Advanced concepts about trailing stop loss.mp4 93.7 MB
03 - Python for data science/004 Numpy Indexing Slicing Transformation.mp4 89.6 MB
02 - Python basis/003 Type of object String.mp4 87.7 MB
09 - Advanced money management/005 Portfolio or Basket Stop loss.mp4 86.4 MB
03 - Python for data science/006 Pandas Cleaning and transformation.mp4 85.5 MB
07 - Money management function/004 How to choose your risk by trade.mp4 84.5 MB
08 - Advanced order managing using Python/002 How to place a pending order (STOP LIMIT order).mp4 82.3 MB
06 - Place trade orders using MetaTrader 5 and Python/002 Order_check() function.mp4 81.0 MB
07 - Money management function/007 Find the volume of trade depending of the broker constraints.mp4 65.8 MB
03 - Python for data science/002 Numpy Array.mp4 63.0 MB
09 - Advanced money management/002 Extract information about current open positions.mp4 60.3 MB
03 - Python for data science/003 Numpy Random.mp4 56.8 MB
05 - Import financial data from your Broker/002 Import ticks data from a specific date.mp4 53.4 MB
02 - Python basis/006 Type of object Tuple and list.mp4 52.3 MB
06 - Place trade orders using MetaTrader 5 and Python/007 Automate the process.mp4 50.3 MB
02 - Python basis/007 Type of object Dictionary.mp4 49.0 MB
07 - Money management function/006 Find the stop loss and take profit depending of your risk and leverage.mp4 46.2 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Science Supervised Machine Learning in Python
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9. Appendix/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/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
9. Appendix/11. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/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
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
9. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4 15.1 MB
4. Decision Trees/4. Maximizing Information Gain.mp4 14.6 MB
5. Perceptrons/2. Perceptron in Code.mp4 14.4 MB
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~Get Your Files Here !/03 - Accessing numpy array/004 NumPy - Iterating Over Array.mp4 142.0 MB
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~Get Your Files Here !/03 - Accessing numpy array/001 NumPy - Indexing & Slicing.mp4 134.8 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/004 NumPy - Matplotlib.mp4 112.6 MB
~Get Your Files Here !/03 - Accessing numpy array/002 NumPy - Advanced Indexing.mp4 111.3 MB
~Get Your Files Here !/04 - Operations on numpy array/004 NumPy - Arithmetic Operations.mp4 110.3 MB
~Get Your Files Here !/02 - NumPy Array Creation/002 NumPy - Array From Existing Data.mp4 105.9 MB
~Get Your Files Here !/01 - Introduction to numpy/004 NumPy - Data Types.mp4 99.9 MB
~Get Your Files Here !/02 - NumPy Array Creation/003 NumPy - Array From Numerical Ranges.mp4 94.9 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/001 NumPy - Copies & Views.mp4 86.4 MB
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10. Acceptance testing and browser automation with Selenium/17. Filling in forms with Selenium.mp4 185.0 MB
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~Get Your Files Here !/2. Basic PyQt5 QWidgets/6. QLineEdit and Signal.mp4 73.2 MB
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~Get Your Files Here !/3. Advanced PyQt5 Widgets/4. PROJECT 1 Digital Clock.mp4 68.1 MB
~Get Your Files Here !/2. Basic PyQt5 QWidgets/7. QGroupBox.mp4 68.0 MB
~Get Your Files Here !/2. Basic PyQt5 QWidgets/9. The Frame.mp4 63.3 MB
~Get Your Files Here !/2. Basic PyQt5 QWidgets/10. QSlider.mp4 60.5 MB
~Get Your Files Here !/2. Basic PyQt5 QWidgets/3. QLabel.mp4 58.9 MB
~Get Your Files Here !/2. Basic PyQt5 QWidgets/13. QFontDialog.mp4 54.3 MB
~Get Your Files Here !/3. Advanced PyQt5 Widgets/7. QMessage Box.mp4 50.6 MB
~Get Your Files Here !/3. Advanced PyQt5 Widgets/5. QPixmap.mp4 49.5 MB
~Get Your Files Here !/3. Advanced PyQt5 Widgets/8. QWizard.mp4 48.1 MB
~Get Your Files Here !/3. Advanced PyQt5 Widgets/6. QCalendar.mp4 46.7 MB
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7. Heist Meisters - Top-Down-Stealth/16. Adding Furniture With a Tilesheet.mp4 220.3 MB
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5. Hoppy Days 3.1 - Discovering the Engine/19. Making the Cloud NPC.mp4 199.0 MB
5. Hoppy Days 3.1 - Discovering the Engine/7. Tilemaps - Making a Level.mp4 198.5 MB
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3. Loony Lips 3.1 - Discovering GDScript/3. Label - Showing Text to the Player.mp4 176.1 MB
3. Loony Lips 3.1 - Discovering GDScript/6. Appending Arrays and if Conditions.mp4 172.6 MB
5. Hoppy Days 3.1 - Discovering the Engine/3. PhysicsBody2D - Making a Character.mp4 172.1 MB
3. Loony Lips 3.1 - Discovering GDScript/8. Dictionaries - Adding a Story Template.mp4 168.5 MB
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5. Hoppy Days 3.1 - Discovering the Engine/11. Area2D - Making Spike Hazards.mp4 151.7 MB
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~Get Your Files Here !/04 - C++ applications/002 Probability evaluation using vectors.mp4 196.1 MB
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~Get Your Files Here !/04 - C++ applications/004 Bernoulli process with biased trials (part 2).mp4 83.9 MB
~Get Your Files Here !/04 - C++ applications/003 Bernoulli process with biased trials (part 1).mp4 68.4 MB
~Get Your Files Here !/03 - MATLAB applications/005 Monte Carlo and simulated Probabilities.mp4 66.2 MB
~Get Your Files Here !/04 - C++ applications/005 Bernoulli process with biased trials (part 3).mp4 62.1 MB
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~Get Your Files Here !/02 - Transforming Non-Normal datasets to Normal datasets on Python/003 Python code for converting any non-Normal dataset to Normal via Box-Cox.mp4 33.3 MB
~Get Your Files Here !/02 - Transforming Non-Normal datasets to Normal datasets on Python/001 Python code for converting Lognormal datasets to Normal ones.mp4 24.6 MB
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~Get Your Files Here !/04 - Part 02 Files & Paths/006 2500 - Using locate, whereis, & find.mp4 101.5 MB
~Get Your Files Here !/06 - Part 03 Python Shell Concepts/005 4400 UML Support for CRUD + S + Help.mp4 90.4 MB
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~Get Your Files Here !/03 - Linux Dev & Ops/001 0300 O2 Commands & Shells (using clear, man, and whoami).mp4 84.8 MB
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