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Премиум
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    Introduction to the Course
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    Course Help and Welcome
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    Python Environment Setup
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    Jupyter Notebooks
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    Optional: Virtual Environments
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    Welcome to the Python Crash Course Section!
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    Introduction to Python Crash Course
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    Python Crash Course - Part 1
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    Python Crash Course - Part 2
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    Python Crash Course - Part 3
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    Python Crash Course - Part 4
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    Python Crash Course Exercises - Overview
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    Python Crash Course Exercises - Solutions
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    Welcome to the NumPy Section!
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    Introduction to Numpy
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    Numpy Arrays
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    Numpy Array Indexing
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    Numpy Operations
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    Numpy Exercises Overview
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    Numpy Exercises Solutions
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    Welcome to the Pandas Section!
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    Introduction to Pandas
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    Series
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    DataFrames - Part 1
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    DataFrames - Part 2
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    DataFrames - Part 3
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    Missing Data
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    Groupby
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    Merging Joining and Concatenating
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    Operations
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    Data Input and Output
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    SF Salaries Exercise Overview
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    SF Salaries Solutions
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    Ecommerce Purchases Exercise Overview
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    Ecommerce Purchases Exercise Solutions
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    Welcome to the Data Visualization Section!
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    Introduction to Matplotlib
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    Matplotlib Part 1
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    Matplotlib Part 2
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    Matplotlib Part 3
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    Matplotlib Exercises Overview
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    Matplotlib Exercises - Solutions
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    Introduction to Seaborn
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    Distribution Plots
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    Categorical Plots
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    Matrix Plots
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    Grids
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    Regression Plots
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    Style and Color
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    Seaborn Exercise Overview
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    Seaborn Exercise Solutions
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    Pandas Built-in Data Visualization
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    Pandas Data Visualization Exercise
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    Pandas Data Visualization Exercise- Solutions
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    Introduction to Plotly and Cufflinks
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    Plotly and Cufflinks
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    Introduction to Geographical Plotting
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    Choropleth Maps - Part 1 - USA
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    Choropleth Maps - Part 2 - World
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    Choropleth Exercises
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    Choropleth Exercises - Solutions
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    Welcome to the Data Capstone Projects!
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    911 Calls Project Overview
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    911 Calls Solutions - Part 1
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    911 Calls Solutions - Part 2
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    Finance Data Project Overview
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    Finance Project - Solutions Part 1
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    Finance Project - Solutions Part 2
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    Finance Project - Solutions Part 3
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    Welcome to the Machine Learning Section!
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    Supervised Learning Overview
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    Evaluating Performance - Classification Error Metrics
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    Evaluating Performance - Regression Error Metrics
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    Machine Learning with Python
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    Linear Regression Theory
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    Linear Regression with Python - Part 1
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    Linear Regression with Python - Part 2
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    Linear Regression Project Overview
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    Linear Regression Project Solution
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    Bias Variance Trade-Off
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    Logistic Regression Theory
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    Logistic Regression with Python - Part 1
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    Logistic Regression with Python - Part 2
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    Logistic Regression with Python - Part 3
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    Logistic Regression Project Overview
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    Logistic Regression Project Solutions
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    KNN Theory
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    KNN with Python
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    KNN Project Overview
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    KNN Project Solutions
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    Introduction to Tree Methods
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    Decision Trees and Random Forest with Python
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    Decision Trees and Random Forest Project Overview
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    Decision Trees and Random Forest Solutions Part 1
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    Decision Trees and Random Forest Solutions Part 2
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    SVM Theory
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    Support Vector Machines with Python
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    SVM Project Overview
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    SVM Project Solutions
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    K Means Algorithm Theory
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    K Means with Python
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    K Means Project Overview
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    K Means Project Solutions
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    Principal Component Analysis
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    PCA with Python
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    Recommender Systems
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    Recommender Systems with Python - Part 1
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    Recommender Systems with Python - Part 2
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    Natural Language Processing Theory
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    NLP with Python - Part 1
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    NLP with Python - Part 2
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    NLP with Python - Part 3
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    NLP Project Overview
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    NLP Project Solutions
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    Welcome to the Deep Learning Section!
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    Introduction to Artificial Neural Networks (ANN)
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    Perceptron Model
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    Neural Networks
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    Activation Functions
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    Multi-Class Classification Considerations
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    Cost Functions and Gradient Descent
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    Backpropagation
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    TensorFlow vs Keras
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    TF Syntax Basics - Part One - Preparing the Data
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    TF Syntax Basics - Part Two - Creating and Training the Model
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    TF Syntax Basics - Part Three - Model Evaluation
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    TF Regression Code Along - Exploratory Data Analysis
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    TF Regression Code Along - Exploratory Data Analysis - Continued
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    TF Regression Code Along - Data Preprocessing and Creating a Model
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    TF Regression Code Along - Model Evaluation and Predictions
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    TF Classification Code Along - EDA and Preprocessing
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    TF Classification - Dealing with Overfitting and Evaluation
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    TensorFlow 2.0 Project Options Overview
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    TensorFlow 2.0 Project Notebook Overview
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    Keras Project Solutions - Dealing with Missing Data
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    Keras Project Solutions - Dealing with Missing Data - Part Two
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    Keras Project Solutions - Categorical Data
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    Keras Project Solutions - Data PreProcessing
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    Keras Project Solutions - Data PreProcessing
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    Keras Project Solutions - Creating and Training a Model
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    Keras Project Solutions - Model Evaluation
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    Tensorboard
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    Welcome to the Big Data Section!
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    Big Data Overview
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    Spark Overview
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    AWS Account Set-Up
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    EC2 Instance Set-Up
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    SSH with Mac or Linux
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    PySpark Setup
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    Lambda Expressions Review
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    Introduction to Spark and Python
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    RDD Transformations and Actions