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[FreeTutorials.Us] python-for-data-science-and-machine-learning-bootcamp

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种子名称: [FreeTutorials.Us] python-for-data-science-and-machine-learning-bootcamp
文件类型: 视频
文件数目: 133个文件
文件大小: 3.89 GB
收录时间: 2019-1-9 19:43
已经下载: 3
资源热度: 94
最近下载: 2024-6-4 00:55

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[FreeTutorials.Us] python-for-data-science-and-machine-learning-bootcamp.torrent
  • 01 Course Introduction/001 Introduction to the Course.mp443.01MB
  • 01 Course Introduction/002 Course Help and Welcome.mp422.13MB
  • 02 Environment Set-Up/004 Environment Set-up and Installation.mp428.17MB
  • 03 Jupyter Overview/005 Jupyter Notebooks.mp437.76MB
  • 03 Jupyter Overview/006 Optional Virtual Environments.mp421.78MB
  • 04 Python Crash Course/007 Welcome to the Python Crash Course Section.mp410.7MB
  • 04 Python Crash Course/008 Introduction to Python Crash Course.mp43.03MB
  • 04 Python Crash Course/009 Python Crash Course - Part 1.mp440.15MB
  • 04 Python Crash Course/010 Python Crash Course - Part 2.mp432.21MB
  • 04 Python Crash Course/011 Python Crash Course - Part 3.mp435.76MB
  • 04 Python Crash Course/012 Python Crash Course - Part 4.mp432.55MB
  • 04 Python Crash Course/013 Python Crash Course Exercises - Overview.mp412.23MB
  • 04 Python Crash Course/014 Python Crash Course Exercises - Solutions.mp434.41MB
  • 05 Python for Data Analysis - NumPy/015 Welcome to the NumPy Section.mp46.99MB
  • 05 Python for Data Analysis - NumPy/016 Introduction to Numpy.mp44.72MB
  • 05 Python for Data Analysis - NumPy/017 Numpy Arrays.mp438.13MB
  • 05 Python for Data Analysis - NumPy/019 Numpy Array Indexing.mp442.25MB
  • 05 Python for Data Analysis - NumPy/020 Numpy Operations.mp430.1MB
  • 05 Python for Data Analysis - NumPy/021 Numpy Exercises Overview.mp412.21MB
  • 05 Python for Data Analysis - NumPy/022 Numpy Exercises Solutions.mp446.23MB
  • 06 Python for Data Analysis - Pandas/023 Welcome to the Pandas Section.mp49.13MB
  • 06 Python for Data Analysis - Pandas/024 Introduction to Pandas.mp43.53MB
  • 06 Python for Data Analysis - Pandas/025 Series.mp422.69MB
  • 06 Python for Data Analysis - Pandas/026 DataFrames - Part 1.mp445.61MB
  • 06 Python for Data Analysis - Pandas/027 DataFrames - Part 2.mp449.87MB
  • 06 Python for Data Analysis - Pandas/028 DataFrames - Part 3.mp424.3MB
  • 06 Python for Data Analysis - Pandas/029 Missing Data.mp413.68MB
  • 06 Python for Data Analysis - Pandas/030 Groupby.mp416.69MB
  • 06 Python for Data Analysis - Pandas/031 Merging Joining and Concatenating.mp430.38MB
  • 06 Python for Data Analysis - Pandas/032 Operations.mp427.35MB
  • 06 Python for Data Analysis - Pandas/033 Data Input and Output.mp444.49MB
  • 07 Python for Data Analysis - Pandas Exercises/034 SF Salaries Exercise Overview.mp48.3MB
  • 07 Python for Data Analysis - Pandas Exercises/036 SF Salaries Solutions.mp451.78MB
  • 07 Python for Data Analysis - Pandas Exercises/037 Ecommerce Purchases Exercise Overview.mp48.79MB
  • 07 Python for Data Analysis - Pandas Exercises/038 Ecommerce Purchases Exercise Solutions.mp452.02MB
  • 08 Python for Data Visualization - Matplotlib/039 Welcome to the Data Visualization Section.mp414.24MB
  • 08 Python for Data Visualization - Matplotlib/040 Introduction to Matplotlib.mp416.33MB
  • 08 Python for Data Visualization - Matplotlib/041 Matplotlib Part 1.mp441.62MB
  • 08 Python for Data Visualization - Matplotlib/042 Matplotlib Part 2.mp435.46MB
  • 08 Python for Data Visualization - Matplotlib/043 Matplotlib Part 3.mp431.9MB
  • 08 Python for Data Visualization - Matplotlib/044 Matplotlib Exercises Overview.mp47.71MB
  • 08 Python for Data Visualization - Matplotlib/045 Matplotlib Exercises - Solutions.mp432.8MB
  • 09 Python for Data Visualization - Seaborn/046 Introduction to Seaborn.mp411.58MB
  • 09 Python for Data Visualization - Seaborn/047 Distribution Plots.mp461.74MB
  • 09 Python for Data Visualization - Seaborn/048 Categorical Plots.mp444.38MB
  • 09 Python for Data Visualization - Seaborn/049 Matrix Plots.mp425.41MB
  • 09 Python for Data Visualization - Seaborn/050 Regression Plots.mp418.03MB
  • 09 Python for Data Visualization - Seaborn/051 Grids.mp423.94MB
  • 09 Python for Data Visualization - Seaborn/052 Style and Color.mp422.69MB
  • 09 Python for Data Visualization - Seaborn/053 Seaborn Exercise Overview.mp48.25MB
  • 09 Python for Data Visualization - Seaborn/054 Seaborn Exercise Solutions.mp424.23MB
  • 10 Python for Data Visualization - Pandas Built-in Data Visualization/055 Pandas Built-in Data Visualization.mp436.87MB
  • 10 Python for Data Visualization - Pandas Built-in Data Visualization/056 Pandas Data Visualization Exercise.mp46.55MB
  • 10 Python for Data Visualization - Pandas Built-in Data Visualization/057 Pandas Data Visualization Exercise- Solutions.mp435.9MB
  • 11 Python for Data Visualization - Plotly and Cufflinks/058 Introduction to Plotly and Cufflinks.mp415.63MB
  • 11 Python for Data Visualization - Plotly and Cufflinks/059 Plotly and Cufflinks.mp462.6MB
  • 12 Python for Data Visualization - Geographical Plotting/060 Introduction to Geographical Plotting.mp42.15MB
  • 12 Python for Data Visualization - Geographical Plotting/061 Choropleth Maps - Part 1 - USA.mp454.96MB
  • 12 Python for Data Visualization - Geographical Plotting/062 Choropleth Maps - Part 2 - World.mp424.41MB
  • 12 Python for Data Visualization - Geographical Plotting/063 Choropleth Exercises.mp412.87MB
  • 12 Python for Data Visualization - Geographical Plotting/064 Choropleth Exercises - Solutions.mp433.46MB
  • 13 Data Capstone Project/065 Welcome to the Data Capstone Projects.mp410.97MB
  • 13 Data Capstone Project/066 911 Calls Project Overview.mp411.44MB
  • 13 Data Capstone Project/067 911 Calls Solutions - Part 1.mp449.16MB
  • 13 Data Capstone Project/068 911 Calls Solutions - Part 2.mp458.83MB
  • 13 Data Capstone Project/069 Finance Data Project Overview.mp416.37MB
  • 13 Data Capstone Project/071 Finance Project - Solutions Part 1.mp460.46MB
  • 13 Data Capstone Project/072 Finance Project - Solutions Part 2.mp455.85MB
  • 13 Data Capstone Project/073 Finance Project - Solutions Part 3.mp419.91MB
  • 14 Introduction to Machine Learning/074 Welcome to the Machine Learning Section.mp419.5MB
  • 14 Introduction to Machine Learning/076 Introduction to Machine Learning.mp437.61MB
  • 14 Introduction to Machine Learning/077 Machine Learning with Python.mp418.78MB
  • 15 Linear Regression/078 Linear Regression Theory.mp49.89MB
  • 15 Linear Regression/080 Linear Regression with Python - Part 1.mp452.3MB
  • 15 Linear Regression/081 Linear Regression with Python - Part 2.mp419.27MB
  • 15 Linear Regression/082 Linear Regression Project Overview.mp414.2MB
  • 15 Linear Regression/083 Linear Regression Project Solution.mp456.46MB
  • 16 Cross Validation and Bias-Variance Trade-Off/084 Bias Variance Trade-Off.mp412.93MB
  • 17 Logistic Regression/085 Logistic Regression Theory.mp423.54MB
  • 17 Logistic Regression/086 Logistic Regression with Python - Part 1.mp449.03MB
  • 17 Logistic Regression/087 Logistic Regression with Python - Part 2.mp438.83MB
  • 17 Logistic Regression/088 Logistic Regression with Python - Part 3.mp420.02MB
  • 17 Logistic Regression/089 Logistic Regression Project Overview.mp46.65MB
  • 17 Logistic Regression/090 Logistic Regression Project Solutions.mp436.69MB
  • 18 K Nearest Neighbors/091 KNN Theory.mp411.17MB
  • 18 K Nearest Neighbors/092 KNN with Python.mp454.68MB
  • 18 K Nearest Neighbors/093 KNN Project Overview.mp47.1MB
  • 18 K Nearest Neighbors/094 KNN Project Solutions.mp470.85MB
  • 19 Decision Trees and Random Forests/095 Introduction to Tree Methods.mp413.49MB
  • 19 Decision Trees and Random Forests/096 Decision Trees and Random Forest with Python.mp449.09MB
  • 19 Decision Trees and Random Forests/097 Decision Trees and Random Forest Project Overview.mp415.42MB
  • 19 Decision Trees and Random Forests/098 Decision Trees and Random Forest Solutions Part 1.mp436.72MB
  • 19 Decision Trees and Random Forests/099 Decision Trees and Random Forest Solutions Part 2.mp432.3MB
  • 20 Support Vector Machines/100 SVM Theory.mp49.9MB
  • 20 Support Vector Machines/101 Support Vector Machines with Python.mp456.15MB
  • 20 Support Vector Machines/102 SVM Project Overview.mp411.17MB
  • 20 Support Vector Machines/103 SVM Project Solutions.mp433.57MB
  • 21 K Means Clustering/104 K Means Algorithm Theory.mp410.98MB
  • 21 K Means Clustering/105 K Means with Python.mp434.62MB
  • 21 K Means Clustering/106 K Means Project Overview.mp411.56MB
  • 21 K Means Clustering/107 K Means Project Solutions.mp456.73MB
  • 22 Principal Component Analysis/108 Principal Component Analysis.mp47.12MB
  • 22 Principal Component Analysis/109 PCA with Python.mp449.81MB
  • 23 Recommender Systems/110 Recommender Systems.mp49.1MB
  • 23 Recommender Systems/111 Recommender Systems with Python - Part 1.mp443.39MB
  • 23 Recommender Systems/112 Recommender Systems with Python - Part 2.mp439.41MB
  • 24 Natural Language Processing/113 Natural Language Processing Theory.mp49.81MB
  • 24 Natural Language Processing/114 NLP with Python - Part 1.mp447.41MB
  • 24 Natural Language Processing/115 NLP with Python - Part 2.mp449.08MB
  • 24 Natural Language Processing/116 NLP with Python - Part 3.mp443.48MB
  • 24 Natural Language Processing/117 NLP Project Overview.mp48.44MB
  • 24 Natural Language Processing/118 NLP Project Solutions.mp457.69MB
  • 25 Big Data and Spark with Python/119 Welcome to the Big Data Section.mp414.23MB
  • 25 Big Data and Spark with Python/120 Big Data Overview.mp411.29MB
  • 25 Big Data and Spark with Python/121 Spark Overview.mp417.49MB
  • 25 Big Data and Spark with Python/123 AWS Account Set-Up.mp413.1MB
  • 25 Big Data and Spark with Python/125 EC2 Instance Set-Up.mp486.53MB
  • 25 Big Data and Spark with Python/126 SSH with Mac or Linux.mp410.89MB
  • 25 Big Data and Spark with Python/127 PySpark Setup.mp470.62MB
  • 25 Big Data and Spark with Python/128 Lambda Expressions Review.mp410.31MB
  • 25 Big Data and Spark with Python/129 Introduction to Spark and Python.mp418.08MB
  • 25 Big Data and Spark with Python/130 RDD Transformations and Actions.mp470.8MB
  • 26 Neural Nets and Deep Learning/131 Neural Network Theory.mp414.52MB
  • 26 Neural Nets and Deep Learning/132 Welcome to the Deep Learning Section.mp413.35MB
  • 26 Neural Nets and Deep Learning/133 What is TensorFlow.mp432.8MB
  • 26 Neural Nets and Deep Learning/135 TensorFlow Installation.mp491.93MB
  • 26 Neural Nets and Deep Learning/136 TensorFlow Basics.mp436.59MB
  • 26 Neural Nets and Deep Learning/137 MNIST with Multi-Layer Perceptron - Part 1.mp425.22MB
  • 26 Neural Nets and Deep Learning/138 MNIST with Multi-Layer Perceptron - Part 2.mp445.18MB
  • 26 Neural Nets and Deep Learning/139 MNIST with Multi-Layer Perceptron - Part 3.mp456.7MB
  • 26 Neural Nets and Deep Learning/140 TensorFlow with ContribLearn.mp423.76MB
  • 26 Neural Nets and Deep Learning/141 Tensorflow Project Exercise Overview.mp440.59MB
  • 26 Neural Nets and Deep Learning/142 Tensorflow Project Exercise - Solutions.mp452.71MB