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- 【影视】 [ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Python NumPy
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收录时间:2024-10-28
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~Get Your Files Here !/6 - Methods/4 -Solution.mp4 155.0 MB
~Get Your Files Here !/13 - Saving and loading arrays/1 -Saving and loading arrays.mp4 105.0 MB
~Get Your Files Here !/9 - Indexing functions/4 -Solution.mp4 94.7 MB
~Get Your Files Here !/5 - Indexing, slicing, assigning/4 -Solution.mp4 89.6 MB
~Get Your Files Here !/6 - Methods/2 -Shape manipulation methods.mp4 88.2 MB
~Get Your Files Here !/8 - Manipulation functions/4 -Adding or removing elements.mp4 85.9 MB
~Get Your Files Here !/6 - Methods/3 -Item selection.mp4 85.8 MB
~Get Your Files Here !/10 - Universal functions/4 -Comparison functions.mp4 84.9 MB
~Get Your Files Here !/8 - Manipulation functions/6 -Solution.mp4 84.5 MB
~Get Your Files Here !/10 - Universal functions/6 -Solution.mp4 76.7 MB
~Get Your Files Here !/6 - Methods/9 -Solution.mp4 75.2 MB
~Get Your Files Here !/8 - Manipulation functions/1 -Grouping and splitting arrays.mp4 74.8 MB
~Get Your Files Here !/7 - Random numbers/1 -Simple random numbers.mp4 74.3 MB
~Get Your Files Here !/3 - ndarray and its attributes/4 -Array attributes.mp4 68.3 MB
~Get Your Files Here !/6 - Methods/8 -Calculation methods 4.mp4 65.6 MB
~Get Your Files Here !/4 - Filled arrays/4 -Solution.mp4 62.3 MB
~Get Your Files Here !/12 - Statistic/3 -Statistic 2.mp4 61.9 MB
~Get Your Files Here !/6 - Methods/1 -Conversion methods.mp4 59.8 MB
~Get Your Files Here !/11 - Linear algebra/4 -Solution.mp4 55.1 MB
~Get Your Files Here !/7 - Random numbers/3 -Distributions 1.mp4 55.0 MB
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- 【影视】 [FreeCourseSite.com] Udemy - NumPy Python Programming Language Library from Scratch A-Z™
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1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.7 MB
6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.6 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.8 MB
3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp4 41.9 MB
1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 39.9 MB
4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Functio.mp4 37.6 MB
4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 34.9 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 34.1 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp4 33.0 MB
6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp4 31.7 MB
3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 28.7 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays.mp4 25.9 MB
4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp4 25.6 MB
3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp4 23.9 MB
6. Operations in Numpy Library/4. Solving Second-Degree Equations with NumPy.mp4 23.5 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/2. Slicing One-Dimensional Numpy Arrays.mp4 21.8 MB
3. Creating NumPy Array in Python/9. Properties of NumPy Array.mp4 21.7 MB
6. Operations in Numpy Library/1. Operations with Comparison Operators.mp4 20.8 MB
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- 【影视】 Data Mining w Python and NumPy - Build a Video Recommender
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收录时间:2021-04-21
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[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/15. 14. Classes And Objects.mp4 234.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/12. 11. Loops.mp4 175.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/4. 03. Operators.mp4 169.3 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/1. 01 Build A Dataset.mp4 148.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/16. 15. Inheritance Examples.mp4 137.0 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/11. 10. If Statement Examples.mp4 123.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/6. 05. List Examples.mp4 115.2 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/2. 01. Variables.mp4 111.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/3. 03 Compute Support And Confidence For All Channels.mp4 96.5 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/8. 07. Dictionaries Examples.mp4 91.5 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/13. 12. Functions.mp4 90.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/17. 16. Static Members Examples.mp4 82.4 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/14. 13. Parameters And Return Values Examples.mp4 82.3 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/2. 01 Mammoth Interactive Courses Introduction/2. 01 How To Learn Online Effectively.mp4 77.7 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/4. 04 Determine Which Videos Are Best To Recommend.mp4 70.9 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/4. 03 Build a Video Recommender with Data Mining/2. 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 68.0 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/3. 02. Type Conversion Examples.mp4 62.8 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/1. 00. Intro To Course And Python.mp4 60.0 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/9. 08. Ranges Examples.mp4 55.8 MB
[TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender/3. 02 Introduction to Python (Prerequisite)/7. 06. Tuples Examples.mp4 55.0 MB
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- 【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]
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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
7. Jupyter/1. What is Jupyter.mp4 108.3 MB
9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
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- 【影视】 Preprocessing Data with NumPy
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收录时间:2021-05-03
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[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/11. Stacking Arrays.mp4 78.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/1. Importing Data with Numpy - np.loadtxtx() vs np.genfromtxt().mp4 76.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/7. Argument Functions - Part 1 Argument Where.mp4 69.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/5. Sorting Arrays.mp4 62.4 MB
[TutsNode.com] - Preprocessing Data with NumPy/1. Introduction to NumPy/1. What Does the Course Cover.mp4 61.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/2. Importing Data with NumPy - Simple Cleaning when Importing.mp4 60.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/15. Completing the Dataset.mp4 57.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/14. Manipulating Numeric Data Currency Change - From USD to EUR.mp4 55.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/4. Working with Arrays/1. Basic Slicing.mp4 54.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/1. Setting Up Introduction to the Practical Example.mp4 54.7 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/1. Checking for Missing Values.mp4 54.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/8. Manipulating Text Data Grade and Sub Grade.mp4 53.9 MB
[TutsNode.com] - Preprocessing Data with NumPy/2. Why Do We Use NumPy/3. ndarrays.mp4 52.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/10. Manipulating Text Data State Address.mp4 52.0 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/12. Concatenating Arrays.mp4 50.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/12. Manipulating Numeric Data Substitute Filler Values.mp4 48.6 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/9. Casting Arrays.mp4 47.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/3. Reshaping Arrays.mp4 47.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/7. Statistics with NumPy/1. Using NumPy Statistical Functions.mp4 46.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/3. Importing Data with NumPy - String vs Object vs Numbers.mp4 45.9 MB
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2 - Einfuhrung & Installation/10 - Windows Installation von VS Code.mp4 167.2 MB
2 - Einfuhrung & Installation/13 - Kurs-Struktur-mit-L-sung.zip 165.7 MB
10 - Scipy/70 - Curve Fitting.mp4 101.4 MB
3 - Python Basics/19 - Operators.mp4 100.6 MB
10 - Scipy/68 - Simple Optimierung von Funktionen.mp4 99.5 MB
6 - Methoden und Funktionen/35 - Funktionen mit mehreren Parametern 1.mp4 97.7 MB
7 - NumPy/47 - For Schleife vs DotFunktion.mp4 97.4 MB
2 - Einfuhrung & Installation/6 - Windows Installation Python und Anaconda.mp4 96.5 MB
3 - Python Basics/18 - Strings.mp4 87.0 MB
6 - Methoden und Funktionen/32 - Globale und lokale Variablen.mp4 82.6 MB
6 - Methoden und Funktionen/44 - Rekursive Funktion.mp4 80.9 MB
6 - Methoden und Funktionen/43 - call by value und call by name.mp4 74.0 MB
7 - NumPy/46 - Lists vs Arrays.mp4 70.3 MB
3 - Python Basics/15 - Variablen.mp4 68.9 MB
8 - Pandas/53 - autos-full.csv 68.4 MB
8 - Pandas/54 - autos-full.csv 68.4 MB
3 - Python Basics/17 - Casting.mp4 68.4 MB
9 - Matplotlib/62 - Balkendiagramme.mp4 66.4 MB
9 - Matplotlib/63 - Tortendiagramm 1.mp4 66.0 MB
8 - Pandas/58 - Anderungen durchfuhren DFApply.mp4 65.0 MB
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- 【影视】 Operations on Arrays with NumPy (Axel Sirota, 2023)
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收录时间:2024-05-28
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3. Slicing and Indexing NumPy Arrays/10. Demo - Broadcasting.mp4 25.1 MB
3. Slicing and Indexing NumPy Arrays/03. Demo - Slicing NumPy Arrays - Part2.mp4 18.0 MB
3. Slicing and Indexing NumPy Arrays/02. Demo - Slicing NumPy Arrays - Part1.mp4 16.8 MB
5. Searching in NumPy Arrays/4. Demo - Byte Operations and Changing Byte Ordering in NumPy.mp4 15.7 MB
5. Searching in NumPy Arrays/3. Demo - Sort vs. Search in NumPy Arrays - Part2.mp4 14.7 MB
4. Operating with NumPy Arrays/4. Demo - Linear Algebra in NumPy Arrays.mp4 14.5 MB
3. Slicing and Indexing NumPy Arrays/08. Demo - Boolean Masks and Indexing - Part3.mp4 14.5 MB
4. Operating with NumPy Arrays/3. Demo - Basic Arithmetic with NumPy Arrays - Part2.mp4 14.2 MB
5. Searching in NumPy Arrays/2. Demo - Sort vs. Search in NumPy Arrays - Part1.mp4 14.0 MB
3. Slicing and Indexing NumPy Arrays/06. Demo - Boolean Masks and Indexing - Part1.mp4 13.1 MB
3. Slicing and Indexing NumPy Arrays/05. Demo - Slicing with Strides.mp4 13.0 MB
4. Operating with NumPy Arrays/2. Demo - Basic Arithmetic with NumPy Arrays - Part1.mp4 12.1 MB
exercise.7z 10.9 MB
3. Slicing and Indexing NumPy Arrays/04. Demo - Slicing NumPy Arrays - Part3.mp4 10.6 MB
3. Slicing and Indexing NumPy Arrays/07. Demo - Boolean Masks and Indexing - Part2.mp4 9.0 MB
5. Searching in NumPy Arrays/5. Where to Go Next.mp4 6.0 MB
3. Slicing and Indexing NumPy Arrays/01. Recap of NumPy.mp4 5.7 MB
2. Intoduction/2. Getting the Best out of This Course.mp4 4.4 MB
1. Course Overview/1. Course Overview.mp4 4.4 MB
2. Intoduction/1. Introduction.mp4 4.3 MB
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~Get Your Files Here !/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
~Get Your Files Here !/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
~Get Your Files Here !/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
~Get Your Files Here !/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
~Get Your Files Here !/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
~Get Your Files Here !/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
~Get Your Files Here !/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
~Get Your Files Here !/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
~Get Your Files Here !/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB
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~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/25 - Slicing in 1D and 2D Numpy array.mp4 89.8 MB
~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/26 - Slicing in 3D Numpy array.mp4 64.1 MB
~Get Your Files Here !/5 - Numpy Array Function/22 - Understanding round floor ceil in numpy.mp4 62.5 MB
~Get Your Files Here !/11 - Advance Level/37 - Searching in Numpy Array.mp4 57.1 MB
~Get Your Files Here !/5 - Numpy Array Function/20 - Dot product of an Numpy array.mp4 52.6 MB
~Get Your Files Here !/1 - Introduction/2 - Why we Use Numpy Over Python List.mp4 50.5 MB
~Get Your Files Here !/5 - Numpy Array Function/18 - Understanding the Axis and Sum Min Max.mp4 45.9 MB
~Get Your Files Here !/3 - Numpy Array Attributes/13 - Find the Itemsize of the array.mp4 41.5 MB
~Get Your Files Here !/11 - Advance Level/38 - Sorting a Numpy Array.mp4 40.2 MB
~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/24 - Indexing on 2D array and 3D numpy array.mp4 38.9 MB
~Get Your Files Here !/9 - Joining Two Array/33 - How to Join to array.mp4 38.4 MB
~Get Your Files Here !/10 - Splitting Two Array/36 - Code for Splitting an array.mp4 37.1 MB
~Get Your Files Here !/2 - How to Create Numpy Array/5 - Create 1D 2D 3D Numpy array.mp4 32.9 MB
~Get Your Files Here !/5 - Numpy Array Function/19 - Finding Mean Median Variance of Numpy Array.mp4 32.6 MB
~Get Your Files Here !/7 - Iteration of Numpy Array/29 - Iterating 3D array.mp4 31.2 MB
~Get Your Files Here !/6 - Indexing and Slicing in Numpy array/23 - What is the Indexing and Slicing.mp4 30.6 MB
~Get Your Files Here !/2 - How to Create Numpy Array/8 - Reshape the numpy array.mp4 28.8 MB
~Get Your Files Here !/1 - Introduction/3 - Applications of Numpy.mp4 26.4 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction of Numpy.mp4 25.9 MB
~Get Your Files Here !/2 - How to Create Numpy Array/10 - Create array Using linspace.mp4 25.5 MB
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01-Welcome.en.srt 1.1 kB
01-Welcome.mp4 6.2 MB
02-What you should know.en.srt 566 Bytes
02-What you should know.mp4 621.5 kB
03-NumPy, data science, IMQAV.en.srt 8.7 kB
03-NumPy, data science, IMQAV.mp4 13.6 MB
04-How to use the exercise files.en.srt 3.2 kB
04-How to use the exercise files.mp4 3.9 MB
05-Install software.en.srt 3.0 kB
05-Install software.mp4 5.8 MB
06-Introduction to Jupyter Notebook.en.srt 4.7 kB
06-Introduction to Jupyter Notebook.mp4 9.5 MB
07-Notebook basics.en.srt 13.1 kB
07-Notebook basics.mp4 22.0 MB
08-Markdown.en.srt 6.4 kB
08-Markdown.mp4 12.0 MB
09-Beautiful mathematics typesetting.en.srt 4.6 kB
09-Beautiful mathematics typesetting.mp4 11.0 MB
10-Launch Jupyter Notebook.en.srt 3.0 kB
10-Launch Jupyter Notebook.mp4 5.3 MB
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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
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~Get Your Files Here !/03 - Accessing numpy array/004 NumPy - Iterating Over Array.mp4 142.0 MB
~Get Your Files Here !/04 - Operations on numpy array/005 NumPy - Statistical Functions.mp4 138.0 MB
~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
~Get Your Files Here !/04 - Operations on numpy array/001 NumPy - Array Manipulation.mp4 80.9 MB
~Get Your Files Here !/03 - Accessing numpy array/003 NumPy - Broadcasting.mp4 76.3 MB
~Get Your Files Here !/01 - Introduction to numpy/005 NumPy - Array Attributes.mp4 72.3 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/002 NumPy - Matrix Library.mp4 68.2 MB
~Get Your Files Here !/02 - NumPy Array Creation/001 NumPy - Array Creation Routines.mp4 66.8 MB
~Get Your Files Here !/01 - Introduction to numpy/003 NumPy - Ndarray Object.mp4 65.6 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/005 NumPy - Histogram Using Matplotlib.mp4 43.8 MB
~Get Your Files Here !/04 - Operations on numpy array/006 NumPy - Sort, Search & Counting Functions.mp4 43.6 MB
~Get Your Files Here !/04 - Operations on numpy array/003 NumPy - Mathematical Functions.mp4 41.6 MB
~Get Your Files Here !/05 - Advanced operations on numpy array/006 IO with NumPy.mp4 39.4 MB
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Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/7. Jupyter/1. What is Jupyter.mp4 108.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 78.1 MB
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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
08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
01. Introduction/3. Course FAQ.mp4 77.2 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
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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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
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~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/6. Bar Plotting.mp4 150.2 MB
~Get Your Files Here !/6. Data Manipulation using Pandas Part II/1. Merging , Joining and Concatenating.mp4 131.2 MB
~Get Your Files Here !/5. Data Manipulation using Pandas Part I/4. Pandas Data Structure DataFrame.mp4 112.2 MB
~Get Your Files Here !/6. Data Manipulation using Pandas Part II/4. Data manipulation.mp4 101.2 MB
~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/4. Line Plotting.mp4 88.8 MB
~Get Your Files Here !/5. Data Manipulation using Pandas Part I/2. Importing FilesDataset.mp4 87.6 MB
~Get Your Files Here !/6. Data Manipulation using Pandas Part II/2. Analyzing Data.mp4 66.2 MB
~Get Your Files Here !/6. Data Manipulation using Pandas Part II/3. Cleaning Data.mp4 65.8 MB
~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/5. Histogram Plotting.mp4 60.1 MB
~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/7. Scatter Plot.mp4 59.1 MB
~Get Your Files Here !/5. Data Manipulation using Pandas Part I/3. Pandas Data Structure Series.mp4 58.8 MB
~Get Your Files Here !/3. Numpy Part I - Basics/1. Creation and Initialization of Numpy Array.mp4 57.0 MB
~Get Your Files Here !/2. Anaconda for Jupyter Notebook and Google Colab/1. Download and Install Anaconda for Jupyter Notebook.mp4 52.1 MB
~Get Your Files Here !/4. Numpy Part 2-Advanced/3. Searching.mp4 51.0 MB
~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/8. Pie Chart.mp4 45.2 MB
~Get Your Files Here !/3. Numpy Part I - Basics/4. Indexing and Slicing.mp4 41.9 MB
~Get Your Files Here !/4. Numpy Part 2-Advanced/2. Array Splitting.mp4 40.1 MB
~Get Your Files Here !/4. Numpy Part 2-Advanced/5. Random Module.mp4 39.7 MB
~Get Your Files Here !/3. Numpy Part I - Basics/3. Mathematical Operations using Numpy Array.mp4 39.6 MB
~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/2. Type of Data Visualization.mp4 38.7 MB
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3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
7. Jupyter/1. What is Jupyter.mp4 108.3 MB
9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
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