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01 Course Introduction/003 Py-DS-ML-Bootcamp-master.zip 55.0 MB02 Environment Set-Up/004 Py-DS-ML-Bootcamp-master.zip 55.0 MB03 Jupyter Overview/006 Py-DS-ML-Bootcamp-master.zip 55.0 MB15 Linear Regression/083 Linear Regression with Python - Part 1.mp4 54.8 MB07 Python for Data Analysis - Pandas Exercises/039 Ecommerce Purchases Exercise Solutions.mp4 54.5 MB07 Python for Data Analysis - Pandas Exercises/037 SF Salaries Solutions.mp4 54.3 MB25 Neural Nets and Deep Learning/133 TF Syntax Basics - Part One - Preparing the Data.mp4 52.8 MB06 Python for Data Analysis - Pandas/028 DataFrames - Part 2.mp4 52.3 MB22 Principal Component Analysis/112 PCA with Python.mp4 52.2 MB13 Data Capstone Project/068 911 Calls Solutions - Part 1.mp4 51.6 MB19 Decision Trees and Random Forests/099 Decision Trees and Random Forest with Python.mp4 51.5 MB24 Natural Language Processing/118 NLP with Python - Part 2.mp4 51.5 MB17 Logistic Regression/089 Logistic Regression with Python - Part 1.mp4 51.4 MB25 Neural Nets and Deep Learning/126 Perceptron Model.mp4 50.3 MB24 Natural Language Processing/117 NLP with Python - 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Part 2 - World.mp4 25.6 MB06 Python for Data Analysis - Pandas/029 DataFrames - Part 3.mp4 25.5 MB09 Python for Data Visualization - Seaborn/055 Seaborn Exercise Solutions.mp4 25.4 MB25 Neural Nets and Deep Learning/148 Keras Project Solutions - Data PreProcessing.mp4 25.1 MB09 Python for Data Visualization - Seaborn/051 Grids.mp4 25.1 MB14 Introduction to Machine Learning/079 Evaluating Performance - Regression Error Metrics.mp4 24.8 MB17 Logistic Regression/088 Logistic Regression Theory.mp4 24.7 MB06 Python for Data Analysis - Pandas/026 Series.mp4 23.8 MB09 Python for Data Visualization - Seaborn/053 Style and Color.mp4 23.8 MB01 Course Introduction/002 Course Help and Welcome.mp4 23.2 MB03 Jupyter Overview/007 Optional Virtual Environments.mp4 22.8 MB17 Logistic Regression/091 Logistic Regression with Python - Part 3.mp4 21.0 MB13 Data Capstone Project/074 Finance Project - Solutions Part 3.mp4 20.9 MB14 Introduction to Machine Learning/076 Welcome to the Machine Learning Section.mp4 20.4 MB15 Linear Regression/084 Linear Regression with Python - 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Pandas/030 Missing Data.mp4 14.3 MB19 Decision Trees and Random Forests/098 Introduction to Tree Methods.mp4 14.1 MB25 Neural Nets and Deep Learning/123 Welcome to the Deep Learning Section.mp4 14.0 MB26 Big Data and Spark with Python/156 AWS Account Set-Up.mp4 13.7 MB16 Cross Validation and Bias-Variance Trade-Off/087 Bias Variance Trade-Off.mp4 13.6 MB12 Python for Data Visualization - Geographical Plotting/064 Choropleth Exercises.mp4 13.5 MB04 Python Crash Course/014 Python Crash Course Exercises - Overview.mp4 12.8 MB05 Python for Data Analysis - NumPy/022 Numpy Exercises Overview.mp4 12.8 MB09 Python for Data Visualization - Seaborn/047 Introduction to Seaborn.mp4 12.1 MB21 K Means Clustering/109 K Means Project Overview.mp4 12.1 MB13 Data Capstone Project/067 911 Calls Project Overview.mp4 12.0 MB26 Big Data and Spark with Python/153 Big Data Overview.mp4 11.8 MB18 K Nearest Neighbors/094 KNN Theory.mp4 11.7 MB20 Support Vector Machines/105 SVM Project Overview.mp4 11.7 MB21 K Means Clustering/107 K Means Algorithm Theory.mp4 11.5 MB13 Data Capstone Project/066 Welcome to the Data Capstone Projects.mp4 11.5 MB26 Big Data and Spark with Python/159 SSH with Mac or Linux.mp4 11.4 MB04 Python Crash Course/008 Welcome to the Python Crash Course Section.mp4 11.2 MB25 Neural Nets and Deep Learning/132 TensorFlow vs Keras.mp4 11.0 MB26 Big Data and Spark with Python/161 Lambda Expressions Review.mp4 10.8 MB20 Support Vector Machines/103 SVM Theory.mp4 10.4 MB15 Linear Regression/081 Linear Regression Theory.mp4 10.4 MB24 Natural Language Processing/116 Natural Language Processing Theory.mp4 10.3 MB25 Neural Nets and Deep Learning/124 Introduction to Artificial Neural Networks (ANN).mp4 10.1 MB06 Python for Data Analysis - 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