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Python Machine Learning, Deep Learning, Pandas, Matplotlib
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[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib (Size: 4.58 GB) (Files: 279)
[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib
16 Projects
002 Project - 2.mp4
002 Project - 2.en.srt
001 Project - 1.en.srt
003 Project - 3.en.srt
004 Project - 4.en.srt
001 Project - 1.mp4
003 Project - 3.mp4
004 Project - 4.mp4
05 Numpy Library
008 Using Numpy in Linear Algebra.mp4.vtx
008 Using Numpy in Linear Algebra.en.srt
005 Numpy Functions.en.srt
008 Using Numpy in Linear Algebra.mp4
007 Numpy Exercises.en.srt
003 Array and features.en.srt
006 Indexing and Slicing.en.srt
009 NumExpr Guide.en.srt
001 What is Numpy_.en.srt
002 Why Numpy_.en.srt
004 Array’s Operators.en.srt
005 Numpy Functions.mp4
007 Numpy Exercises.mp4
003 Array and features.mp4
009 NumExpr Guide.mp4
006 Indexing and Slicing.mp4
001 What is Numpy_.mp4
004 Array’s Operators.mp4
002 Why Numpy_.mp4
01 Intro to Deep Learning with Python
002 Project Files and Course Documents.html
001 Introduction to Deep Learning with Python.en.srt
001 Introduction to Deep Learning with Python.mp4
08 Matplotlib
008 Basic Plots in Matplotlib I.en.srt
005 Figure Customization.en.srt
004 Figure, Subplot and Axes.en.srt
009 Basic Plots in Matplotlib II.en.srt
007 Grid, Spines, Ticks.en.srt
002 Using Matplotlib.en.srt
003 Pyplot – Pylab - Matplotlib.en.srt
006 Plot Customization.en.srt
001 Data Visualization with Python Masterclass.en.srt
008 Basic Plots in Matplotlib I.mp4
004 Figure, Subplot and Axes.mp4
005 Figure Customization.mp4
009 Basic Plots in Matplotlib II.mp4
003 Pyplot – Pylab - Matplotlib.mp4
002 Using Matplotlib.mp4
006 Plot Customization.mp4
007 Grid, Spines, Ticks.mp4
001 Data Visualization with Python Masterclass.mp4
17 BONUS
001 BONUS.html
11 Machine Learning
012 Unsupervised Machine Learning Methods.en.srt
011 Supervised Machine Learning Methods - 4.en.srt
015 Choosing the right algorithm and model.mp4
007 Machine Learning Methods.en.srt
010 Supervised Machine Learning Methods - 3.en.srt
009 Supervised Machine Learning Methods - 2.en.srt
005 Learning representations from data.en.srt
003 Turing Machine and Turing Test.en.srt
006 Workflow of Machine Learning.en.srt
008 Supervised Machine Learning Methods - 1.en.srt
015 Choosing the right algorithm and model.en.srt
002 History of Machine Learning.en.srt
017 Evaluation.en.srt
004 What is Deep Learning.en.srt
014 Data pre-processing.en.srt
016 Training and testing the model.en.srt
013 Gathering data.en.srt
001 AI, Machine Learning and Deep Learning.en.srt
012 Unsupervised Machine Learning Methods.mp4
016 Training and testing the model.mp4
011 Supervised Machine Learning Methods - 4.mp4
010 Supervised Machine Learning Methods - 3.mp4
009 Supervised Machine Learning Methods - 2.mp4
007 Machine Learning Methods.mp4
003 Turing Machine and Turing Test.mp4
005 Learning representations from data.mp4
006 Workflow of Machine Learning.mp4
008 Supervised Machine Learning Methods - 1.mp4
014 Data pre-processing.mp4
017 Evaluation.mp4
002 History of Machine Learning.mp4
004 What is Deep Learning.mp4
013 Gathering data.mp4
001 AI, Machine Learning and Deep Learning.mp4
07 Data Frame with Pandas
006 Missing Data and Data Munging Part I.en.srt
010 Combining Data Frames Part – II.en.srt
009 Combining Data Frames Part – I.en.srt
008 Dealing with Missing Data.en.srt
001 Data Frame Attributes and Methods Part – I.en.srt
005 Groupby Operations.en.srt
004 Multi index.en.srt
011 Work with Dataset Files.en.srt
002 Data Frame attributes and Methods Part – II.en.srt
007 Missing Data and Data Munging Part II.en.srt
003 Data Frame attributes and Methods Part – III.en.srt
009 Combining Data Frames Part – I.mp4
010 Combining Data Frames Part – II.mp4
001 Data Frame Attributes and Methods Part – I.mp4
006 Missing Data and Data Munging Part I.mp4
011 Work with Dataset Files.mp4
008 Dealing with Missing Data.mp4
002 Data Frame attributes and Methods Part – II.mp4
005 Groupby Operations.mp4
004 Multi index.mp4
003 Data Frame attributes and Methods Part – III.mp4
007 Missing Data and Data Munging Part II.mp4
12 Artificial Neural Network
008 What is TensorFlow.en.srt
003 Creating a Simple ANN.en.srt
007 Optimizers.en.srt
004 Tensor Operations.en.srt
002 Anatomy of Neural Network.en.srt
001 What is Artificial Neural Network (ANN)_.en.srt
005 Tensor Operations 2.en.srt
006 Keras API.en.srt
003 Creating a Simple ANN.mp4
008 What is TensorFlow.mp4
004 Tensor Operations.mp4
007 Optimizers.mp4
002 Anatomy of Neural Network.mp4
005 Tensor Operations 2.mp4
006 Keras API.mp4
001 What is Artificial Neural Network (ANN)_.mp4
06 Using Pandas for Data Manipulation
002 Series and Features.en.srt
001 What is Pandas_.en.srt
002 Series and Features.mp4
001 What is Pandas_.mp4
15 Transfer Learning
001 What is Transfer Learning.en.srt
001 What is Transfer Learning.mp4
10 Geoplotlib
003 Example - 2.en.srt
004 Example - 3.en.srt
001 What is Geoplotlib_.en.srt
002 Example - 1.en.srt
003 Example - 2.mp4
004 Example - 3.mp4
002 Example - 1.mp4
001 What is Geoplotlib_.mp4
03 Fundamentals of Python
005 Lists, Tuples, Dictionaries and Sets.en.srt
009 Exercise Analyse.en.srt
001 Data Types in Python.en.srt
004 Loops.en.srt
002 Operators in Python.en.srt
003 Conditionals.en.srt
006 Data Type Operators and Methods.en.srt
008 Functions in Python.en.srt
010 Exercise Solution.en.srt
007 Modules in Python.en.srt
005 Lists, Tuples, Dictionaries and Sets.mp4
004 Loops.mp4
010 Exercise Solution.mp4
001 Data Types in Python.mp4
006 Data Type Operators and Methods.mp4
003 Conditionals.mp4
002 Operators in Python.mp4
008 Functions in Python.mp4
007 Modules in Python.mp4
009 Exercise Analyse.mp4
13 Convolutional Neural Network (CNN)
001 What is CNN_.en.srt
001 What is CNN_.mp4
09 Seaborn
007 Regression Plots and Squarify.en.srt
004 Color Palettes.en.srt
002 Controlling Figure Aesthetics.en.srt
006 Multi-Plots in Seaborn.en.srt
003 Example.en.srt
001 What is Seaborn_.en.srt
005 Basic Plots in Seaborn.mp4
007 Regression Plots and Squarify.mp4
003 Example.mp4
004 Color Palettes.mp4
006 Multi-Plots in Seaborn.mp4
002 Controlling Figure Aesthetics.mp4
001 What is Seaborn_.mp4
14 Recurrent Neural Network and LTSM
001 Understanding RNN and LSTM Networks.en.srt
001 Understanding RNN and LSTM Networks.mp4
04 Object Oriented Programming
005 Overriding and Overloading.en.srt
002 Constructor.en.srt
004 Inheritance.en.srt
001 Logic of OOP.en.srt
003 Methods.en.srt
005 Overriding and Overloading.mp4
002 Constructor.mp4
004 Inheritance.mp4
003 Methods.mp4
001 Logic of OOP.mp4
02 Python Setup
002 Overview of Jupyter Notebook and Google Colab.en.srt
001 Installing Anaconda Distribution and Python.en.srt
001 Installing Anaconda Distribution and Python.mp4
002 Overview of Jupyter Notebook and Google Colab.mp4
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