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| 001 Course Outline.en.srt |
8.85Кб |
| 001 Course Outline.mp4 |
77.26Мб |
| 002 Join Our Online Classroom.html |
3.15Кб |
| 003 Exercise Meet The Community.html |
3.36Кб |
| 004 Your First Day.en.srt |
5.27Кб |
| 004 Your First Day.mp4 |
27.92Мб |
| 005 What Is Machine Learning.en.srt |
8.67Кб |
| 005 What Is Machine Learning.mp4 |
28.33Мб |
| 006 AIMachine LearningData Science.en.srt |
6.36Кб |
| 006 AIMachine LearningData Science.mp4 |
19.67Мб |
| 007 Exercise Machine Learning Playground.en.srt |
8.09Кб |
| 007 Exercise Machine Learning Playground.mp4 |
42.59Мб |
| 008 How Did We Get Here.en.srt |
7.07Кб |
| 008 How Did We Get Here.mp4 |
30.50Мб |
| 009 Exercise YouTube Recommendation Engine.en.srt |
5.65Кб |
| 009 Exercise YouTube Recommendation Engine.mp4 |
19.43Мб |
| 010 Types of Machine Learning.en.srt |
5.27Кб |
| 010 Types of Machine Learning.mp4 |
22.75Мб |
| 011 Are You Getting It Yet.html |
1023б |
| 012 What Is Machine Learning Round 2.en.srt |
6.07Кб |
| 012 What Is Machine Learning Round 2.mp4 |
25.51Мб |
| 013 Section Review.en.srt |
2.34Кб |
| 013 Section Review.mp4 |
5.56Мб |
| 014 Section Overview.en.srt |
4.65Кб |
| 014 Section Overview.mp4 |
13.35Мб |
| 015 Introducing Our Framework.en.srt |
3.70Кб |
| 015 Introducing Our Framework.mp4 |
11.38Мб |
| 016 6 Step Machine Learning Framework.en.srt |
6.63Кб |
| 016 6 Step Machine Learning Framework.mp4 |
23.46Мб |
| 017 Types of Machine Learning Problems.en.srt |
13.98Кб |
| 017 Types of Machine Learning Problems.mp4 |
60.50Мб |
| 018 Types of Data.en.srt |
6.52Кб |
| 018 Types of Data.mp4 |
29.32Мб |
| 019 Types of Evaluation.en.srt |
4.33Кб |
| 019 Types of Evaluation.mp4 |
17.75Мб |
| 020 Features In Data.en.srt |
6.75Кб |
| 020 Features In Data.mp4 |
36.78Мб |
| 021 Modelling - Splitting Data.en.srt |
7.71Кб |
| 021 Modelling - Splitting Data.mp4 |
27.51Мб |
| 022 Modelling - Picking the Model.en.srt |
6.21Кб |
| 022 Modelling - Picking the Model.mp4 |
23.24Мб |
| 023 Modelling - Tuning.en.srt |
4.86Кб |
| 023 Modelling - Tuning.mp4 |
15.98Мб |
| 024 Modelling - Comparison.en.srt |
13.09Кб |
| 024 Modelling - Comparison.mp4 |
44.88Мб |
| 025 Overfitting and Underfitting Definitions.html |
2.60Кб |
| 026 Experimentation.en.srt |
4.98Кб |
| 026 Experimentation.mp4 |
21.33Мб |
| 027 Tools We Will Use.en.srt |
5.99Кб |
| 027 Tools We Will Use.mp4 |
27.33Мб |
| 028 Optional Elements of AI.html |
1.80Кб |
| 029 The 2 Paths.en.srt |
4.71Кб |
| 029 The 2 Paths.mp4 |
9.75Мб |
| 030 Python Machine Learning Monthly.html |
1.57Кб |
| 031 Section Overview.en.srt |
2.12Кб |
| 031 Section Overview.mp4 |
6.03Мб |
| 032 Introducing Our Tools.en.srt |
4.34Кб |
| 032 Introducing Our Tools.mp4 |
19.29Мб |
| 033 conda-cheatsheet.pdf |
201.29Кб |
| 033 What is Conda.en.srt |
3.41Кб |
| 033 What is Conda.mp4 |
12.48Мб |
| 034 Conda Environments.en.srt |
6.15Кб |
| 034 Conda Environments.mp4 |
30.56Мб |
| 035 Mac Environment Setup.en.srt |
23.93Кб |
| 035 Mac Environment Setup.mp4 |
144.39Мб |
| 036 Mac Environment Setup 2.en.srt |
20.69Кб |
| 036 Mac Environment Setup 2.mp4 |
125.46Мб |
| 037 Windows Environment Setup.en.srt |
7.62Кб |
| 037 Windows Environment Setup.mp4 |
47.92Мб |
| 038 Windows Environment Setup 2.en.srt |
31.61Кб |
| 038 Windows Environment Setup 2.mp4 |
227.60Мб |
| 039 Linux Environment Setup.html |
1.87Кб |
| 040 Sharing your Conda Environment.html |
3.26Кб |
| 041 6-step-ml-framework.png |
324.24Кб |
| 041 heart-disease.csv |
11.06Кб |
| 041 Jupyter Notebook Walkthrough.en.srt |
15.14Кб |
| 041 Jupyter Notebook Walkthrough.mp4 |
67.35Мб |
| 042 Jupyter Notebook Walkthrough 2.en.srt |
22.48Кб |
| 042 Jupyter Notebook Walkthrough 2.mp4 |
103.90Мб |
| 043 Jupyter Notebook Walkthrough 3.en.srt |
11.49Кб |
| 043 Jupyter Notebook Walkthrough 3.mp4 |
71.42Мб |
| 044 Section Overview.en.srt |
3.75Кб |
| 044 Section Overview.mp4 |
10.87Мб |
| 045 Downloading Workbooks and Assignments.html |
1.80Кб |
| 046 Pandas Introduction.mp4 |
27.44Мб |
| 047 pandas-anatomy-of-a-dataframe.png |
333.24Кб |
| 047 Series Data Frames and CSVs.en.srt |
16.82Кб |
| 047 Series Data Frames and CSVs.mp4 |
95.37Мб |
| 048 Data from URLs.html |
1.93Кб |
| 049 Describing Data with Pandas.en.srt |
13.58Кб |
| 049 Describing Data with Pandas.mp4 |
75.56Мб |
| 050 car-sales.csv |
369б |
| 050 Selecting and Viewing Data with Pandas.en.srt |
14.59Кб |
| 050 Selecting and Viewing Data with Pandas.mp4 |
72.35Мб |
| 051 Selecting and Viewing Data with Pandas Part 2.en.srt |
17.92Кб |
| 051 Selecting and Viewing Data with Pandas Part 2.mp4 |
106.50Мб |
| 052 car-sales-missing-data.csv |
287б |
| 052 Manipulating Data.en.srt |
18.07Кб |
| 052 Manipulating Data.mp4 |
104.99Мб |
| 053 Manipulating Data 2.en.srt |
13.85Кб |
| 053 Manipulating Data 2.mp4 |
86.53Мб |
| 053 pandas-anatomy-of-a-dataframe.png |
333.24Кб |
| 054 Manipulating Data 3.en.srt |
13.71Кб |
| 054 Manipulating Data 3.mp4 |
91.02Мб |
| 055 Assignment Pandas Practice.html |
2.90Кб |
| 056 How To Download The Course Assignments.en.srt |
11.06Кб |
| 056 How To Download The Course Assignments.mp4 |
66.78Мб |
| 057 Section Overview.en.srt |
3.11Кб |
| 057 Section Overview.mp4 |
13.32Мб |
| 058 NumPy Introduction.en.srt |
7.50Кб |
| 058 NumPy Introduction.mp4 |
26.84Мб |
| 059 Quick Note Correction In Next Video.html |
2.10Кб |
| 060 NumPy DataTypes and Attributes.en.srt |
19.19Кб |
| 060 NumPy DataTypes and Attributes.mp4 |
78.99Мб |
| 061 Creating NumPy Arrays.en.srt |
12.44Кб |
| 061 Creating NumPy Arrays.mp4 |
66.77Мб |
| 062 NumPy Random Seed.en.srt |
9.72Кб |
| 062 NumPy Random Seed.mp4 |
51.92Мб |
| 063 Viewing Arrays and Matrices.en.srt |
12.89Кб |
| 063 Viewing Arrays and Matrices.mp4 |
70.64Мб |
| 064 Manipulating Arrays.en.srt |
16.17Кб |
| 064 Manipulating Arrays.mp4 |
80.65Мб |
| 065 Manipulating Arrays 2.en.srt |
11.49Кб |
| 065 Manipulating Arrays 2.mp4 |
67.90Мб |
| 066 Standard Deviation and Variance.en.srt |
9.35Кб |
| 066 Standard Deviation and Variance.mp4 |
51.16Мб |
| 067 Reshape and Transpose.en.srt |
9.53Кб |
| 067 Reshape and Transpose.mp4 |
53.53Мб |
| 068 Dot Product vs Element Wise.en.srt |
15.34Кб |
| 068 Dot Product vs Element Wise.mp4 |
83.93Мб |
| 069 Exercise Nut Butter Store Sales.en.srt |
16.96Кб |
| 069 Exercise Nut Butter Store Sales.mp4 |
91.32Мб |
| 070 Comparison Operators.en.srt |
5.26Кб |
| 070 Comparison Operators.mp4 |
26.37Мб |
| 071 Sorting Arrays.en.srt |
8.80Кб |
| 071 Sorting Arrays.mp4 |
32.83Мб |
| 072 numpy-images.zip |
7.27Мб |
| 072 Turn Images Into NumPy Arrays.en.srt |
10.42Кб |
| 072 Turn Images Into NumPy Arrays.mp4 |
85.91Мб |
| 073 Assignment NumPy Practice.html |
3.01Кб |
| 074 Optional Extra NumPy resources.html |
1.87Кб |
| 075 Section Overview.en.srt |
2.69Кб |
| 075 Section Overview.mp4 |
8.60Мб |
| 076 Matplotlib Introduction.en.srt |
8.03Кб |
| 076 Matplotlib Introduction.mp4 |
31.51Мб |
| 077 Importing And Using Matplotlib.en.srt |
16.05Кб |
| 077 Importing And Using Matplotlib.mp4 |
86.45Мб |
| 078 Anatomy Of A Matplotlib Figure.en.srt |
14.16Кб |
| 078 Anatomy Of A Matplotlib Figure.mp4 |
82.15Мб |
| 078 matplotlib-anatomy-of-a-plot.png |
369.39Кб |
| 078 matplotlib-anatomy-of-a-plot-with-code.png |
654.77Кб |
| 079 Scatter Plot And Bar Plot.en.srt |
14.67Кб |
| 079 Scatter Plot And Bar Plot.mp4 |
67.03Мб |
| 080 Histograms And Subplots.en.srt |
12.44Кб |
| 080 Histograms And Subplots.mp4 |
69.75Мб |
| 081 Subplots Option 2.en.srt |
6.40Кб |
| 081 Subplots Option 2.mp4 |
38.09Мб |
| 082 Quick Tip Data Visualizations.en.srt |
2.34Кб |
| 082 Quick Tip Data Visualizations.mp4 |
12.25Мб |
| 083 Plotting From Pandas DataFrames.en.srt |
9.02Кб |
| 083 Plotting From Pandas DataFrames.mp4 |
60.35Мб |
| 084 Quick Note Regular Expressions.html |
1.47Кб |
| 085 Plotting From Pandas DataFrames 2.en.srt |
13.63Кб |
| 085 Plotting From Pandas DataFrames 2.mp4 |
98.80Мб |
| 086 Plotting from Pandas DataFrames 3.en.srt |
11.46Кб |
| 086 Plotting from Pandas DataFrames 3.mp4 |
74.71Мб |
| 087 heart-disease.csv |
11.06Кб |
| 087 Plotting from Pandas DataFrames 4.en.srt |
9.41Кб |
| 087 Plotting from Pandas DataFrames 4.mp4 |
49.00Мб |
| 088 Plotting from Pandas DataFrames 5.en.srt |
11.63Кб |
| 088 Plotting from Pandas DataFrames 5.mp4 |
56.96Мб |
| 089 Plotting from Pandas DataFrames 6.en.srt |
11.08Кб |
| 089 Plotting from Pandas DataFrames 6.mp4 |
82.04Мб |
| 090 Plotting from Pandas DataFrames 7.en.srt |
14.95Кб |
| 090 Plotting from Pandas DataFrames 7.mp4 |
119.75Мб |
| 091 Customizing Your Plots.en.srt |
13.95Кб |
| 091 Customizing Your Plots.mp4 |
92.21Мб |
| 092 Customizing Your Plots 2.en.srt |
13.29Кб |
| 092 Customizing Your Plots 2.mp4 |
123.60Мб |
| 093 Saving And Sharing Your Plots.en.srt |
5.83Кб |
| 093 Saving And Sharing Your Plots.mp4 |
49.52Мб |
| 094 Assignment Matplotlib Practice.html |
2.90Кб |
| 095 Section Overview.en.srt |
4.10Кб |
| 095 Section Overview.mp4 |
12.46Мб |
| 096 Scikit-learn Introduction.en.srt |
10.60Кб |
| 096 Scikit-learn Introduction.mp4 |
40.63Мб |
| 097 Quick Note Upcoming Video.html |
1.23Кб |
| 098 Refresher What Is Machine Learning.en.srt |
6.33Кб |
| 098 Refresher What Is Machine Learning.mp4 |
88.27Мб |
| 099 Quick Note Upcoming Videos.html |
1.84Кб |
| 100 Scikit-learn Cheatsheet.en.srt |
10.08Кб |
| 100 Scikit-learn Cheatsheet.mp4 |
75.13Мб |
| 101 Typical scikit-learn Workflow.en.srt |
31.71Кб |
| 101 Typical scikit-learn Workflow.mp4 |
190.18Мб |
| 102 Optional Debugging Warnings In Jupyter.en.srt |
25.51Кб |
| 102 Optional Debugging Warnings In Jupyter.mp4 |
176.13Мб |
| 103 Getting Your Data Ready Splitting Your Data.en.srt |
12.08Кб |
| 103 Getting Your Data Ready Splitting Your Data.mp4 |
63.66Мб |
| 103 scikit-learn-data.zip |
20.83Кб |
| 104 Quick Tip Clean Transform Reduce.en.srt |
6.42Кб |
| 104 Quick Tip Clean Transform Reduce.mp4 |
16.53Мб |
| 105 Getting Your Data Ready Convert Data To Numbers.en.srt |
22.71Кб |
| 105 Getting Your Data Ready Convert Data To Numbers.mp4 |
135.02Мб |
| 106 Getting Your Data Ready Handling Missing Values With Pandas.en.srt |
16.94Кб |
| 106 Getting Your Data Ready Handling Missing Values With Pandas.mp4 |
104.84Мб |
| 107 Note Correction in the upcoming video (splitting data).html |
3.03Кб |
| 108 Getting Your Data Ready Handling Missing Values With Scikit-learn.en.srt |
23.13Кб |
| 108 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 |
136.89Мб |
| 109 Choosing The Right Model For Your Data.en.srt |
21.38Кб |
| 109 Choosing The Right Model For Your Data.mp4 |
143.26Мб |
| 110 Choosing The Right Model For Your Data 2 (Regression).en.srt |
11.98Кб |
| 110 Choosing The Right Model For Your Data 2 (Regression).mp4 |
86.92Мб |
| 111 Quick Note Decision Trees.html |
1.06Кб |
| 112 Quick Tip How ML Algorithms Work.en.srt |
1.91Кб |
| 112 Quick Tip How ML Algorithms Work.mp4 |
11.06Мб |
| 113 Choosing The Right Model For Your Data 3 (Classification).en.srt |
17.13Кб |
| 113 Choosing The Right Model For Your Data 3 (Classification).mp4 |
118.84Мб |
| 114 Fitting A Model To The Data.en.srt |
9.33Кб |
| 114 Fitting A Model To The Data.mp4 |
56.56Мб |
| 115 Making Predictions With Our Model.en.srt |
12.08Кб |
| 115 Making Predictions With Our Model.mp4 |
66.50Мб |
| 116 predict() vs predict_proba().en.srt |
11.56Кб |
| 116 predict() vs predict_proba().mp4 |
54.33Мб |
| 117 Making Predictions With Our Model (Regression).en.srt |
9.13Кб |
| 117 Making Predictions With Our Model (Regression).mp4 |
44.91Мб |
| 118 Evaluating A Machine Learning Model (Score).en.srt |
12.86Кб |
| 118 Evaluating A Machine Learning Model (Score).mp4 |
87.13Мб |
| 119 Evaluating A Machine Learning Model 2 (Cross Validation).en.srt |
17.25Кб |
| 119 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 |
95.97Мб |
| 120 Evaluating A Classification Model 1 (Accuracy).en.srt |
5.87Кб |
| 120 Evaluating A Classification Model 1 (Accuracy).mp4 |
31.41Мб |
| 121 Evaluating A Classification Model 2 (ROC Curve).en.srt |
12.28Кб |
| 121 Evaluating A Classification Model 2 (ROC Curve).mp4 |
66.03Мб |
| 122 Evaluating A Classification Model 3 (ROC Curve).en.srt |
10.04Кб |
| 122 Evaluating A Classification Model 3 (ROC Curve).mp4 |
50.61Мб |
| 123 Evaluating A Classification Model 4 (Confusion Matrix).en.srt |
15.11Кб |
| 123 Evaluating A Classification Model 4 (Confusion Matrix).mp4 |
77.72Мб |
| 124 Evaluating A Classification Model 5 (Confusion Matrix).en.srt |
11.20Кб |
| 124 Evaluating A Classification Model 5 (Confusion Matrix).mp4 |
63.59Мб |
| 125 Evaluating A Classification Model 6 (Classification Report).en.srt |
14.56Кб |
| 125 Evaluating A Classification Model 6 (Classification Report).mp4 |
87.24Мб |
| 126 Evaluating A Regression Model 1 (R2 Score).en.srt |
12.01Кб |
| 126 Evaluating A Regression Model 1 (R2 Score).mp4 |
70.39Мб |
| 127 Evaluating A Regression Model 2 (MAE).en.srt |
5.70Кб |
| 127 Evaluating A Regression Model 2 (MAE).mp4 |
28.52Мб |
| 128 Evaluating A Regression Model 3 (MSE).en.srt |
9.23Кб |
| 128 Evaluating A Regression Model 3 (MSE).mp4 |
54.90Мб |
| 129 Machine Learning Model Evaluation.html |
7.97Кб |
| 130 Evaluating A Model With Cross Validation and Scoring Parameter.en.srt |
17.96Кб |
| 130 Evaluating A Model With Cross Validation and Scoring Parameter.mp4 |
91.49Мб |
| 131 Evaluating A Model With Scikit-learn Functions.en.srt |
16.32Кб |
| 131 Evaluating A Model With Scikit-learn Functions.mp4 |
94.82Мб |
| 132 Improving A Machine Learning Model.en.srt |
14.86Кб |
| 132 Improving A Machine Learning Model.mp4 |
90.93Мб |
| 133 Tuning Hyperparameters.en.srt |
30.54Кб |
| 133 Tuning Hyperparameters.mp4 |
175.56Мб |
| 134 Tuning Hyperparameters 2.en.srt |
16.97Кб |
| 134 Tuning Hyperparameters 2.mp4 |
116.77Мб |
| 135 Tuning Hyperparameters 3.en.srt |
18.78Кб |
| 135 Tuning Hyperparameters 3.mp4 |
121.76Мб |
| 136 Quick Tip Correlation Analysis.en.srt |
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| 136 Quick Tip Correlation Analysis.mp4 |
16.92Мб |
| 137 Saving And Loading A Model.en.srt |
9.85Кб |
| 137 Saving And Loading A Model.mp4 |
52.60Мб |
| 138 Saving And Loading A Model 2.en.srt |
8.98Кб |
| 138 Saving And Loading A Model 2.mp4 |
56.77Мб |
| 139 Putting It All Together.en.srt |
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| 139 Putting It All Together.mp4 |
158.35Мб |
| 140 Putting It All Together 2.en.srt |
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| 140 Putting It All Together 2.mp4 |
116.85Мб |
| 141 Scikit-Learn Practice.html |
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| 142 Milestone Projects.html |
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| 143 Section Overview.en.srt |
3.11Кб |
| 143 Section Overview.mp4 |
10.19Мб |
| 144 Project Overview.en.srt |
10.02Кб |
| 144 Project Overview.mp4 |
34.44Мб |
| 145 Project Environment Setup.en.srt |
14.39Кб |
| 145 Project Environment Setup.mp4 |
100.76Мб |
| 146 Step 1~4 Framework Setup.en.srt |
16.60Кб |
| 146 Step 1~4 Framework Setup.mp4 |
105.50Мб |
| 147 Getting Our Tools Ready.en.srt |
12.78Кб |
| 147 Getting Our Tools Ready.mp4 |
79.36Мб |
| 148 Exploring Our Data.en.srt |
11.40Кб |
| 148 Exploring Our Data.mp4 |
66.88Мб |
| 148 heart-disease.csv |
11.06Кб |
| 149 Finding Patterns.en.srt |
13.39Кб |
| 149 Finding Patterns.mp4 |
63.34Мб |
| 150 Finding Patterns 2.en.srt |
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| 150 Finding Patterns 2.mp4 |
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| 151 Finding Patterns 3.en.srt |
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| 151 Finding Patterns 3.mp4 |
137.86Мб |
| 152 Preparing Our Data For Machine Learning.en.srt |
12.02Кб |
| 152 Preparing Our Data For Machine Learning.mp4 |
72.60Мб |
| 153 Choosing The Right Models.en.srt |
12.97Кб |
| 153 Choosing The Right Models.mp4 |
96.42Мб |
| 154 Experimenting With Machine Learning Models.en.srt |
9.63Кб |
| 154 Experimenting With Machine Learning Models.mp4 |
55.35Мб |
| 155 TuningImproving Our Model.en.srt |
17.64Кб |
| 155 TuningImproving Our Model.mp4 |
102.78Мб |
| 156 Tuning Hyperparameters.en.srt |
15.67Кб |
| 156 Tuning Hyperparameters.mp4 |
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| 157 Tuning Hyperparameters 2.en.srt |
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| 157 Tuning Hyperparameters 2.mp4 |
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| 158 Tuning Hyperparameters 3.en.srt |
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| 158 Tuning Hyperparameters 3.mp4 |
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| 159 Evaluating Our Model.en.srt |
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| 159 Evaluating Our Model.mp4 |
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| 160 Evaluating Our Model 2.en.srt |
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| 160 Evaluating Our Model 2.mp4 |
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| 161 Evaluating Our Model 3.en.srt |
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| 161 Evaluating Our Model 3.mp4 |
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| 162 Finding The Most Important Features.en.srt |
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| 162 Finding The Most Important Features.mp4 |
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| 163 Reviewing The Project.en.srt |
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| 163 Reviewing The Project.mp4 |
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| 164 Section Overview.en.srt |
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| 164 Section Overview.mp4 |
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| 165 Project Overview.en.srt |
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| 165 Project Overview.mp4 |
32.94Мб |
| 166 Project Environment Setup.en.srt |
15.91Кб |
| 166 Project Environment Setup.mp4 |
101.27Мб |
| 167 Step 1~4 Framework Setup.en.srt |
12.44Кб |
| 167 Step 1~4 Framework Setup.mp4 |
85.69Мб |
| 168 Exploring Our Data.en.srt |
19.97Кб |
| 168 Exploring Our Data.mp4 |
137.81Мб |
| 169 Exploring Our Data 2.en.srt |
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| 169 Exploring Our Data 2.mp4 |
52.04Мб |
| 170 Feature Engineering.en.srt |
22.13Кб |
| 170 Feature Engineering.mp4 |
159.14Мб |
| 171 Turning Data Into Numbers.en.srt |
22.32Кб |
| 171 Turning Data Into Numbers.mp4 |
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| 172 Filling Missing Numerical Values.en.srt |
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| 172 Filling Missing Numerical Values.mp4 |
106.34Мб |
| 173 Filling Missing Categorical Values.en.srt |
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| 173 Filling Missing Categorical Values.mp4 |
66.91Мб |
| 174 Fitting A Machine Learning Model.en.srt |
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| 174 Fitting A Machine Learning Model.mp4 |
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| 175 Splitting Data.en.srt |
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| 175 Splitting Data.mp4 |
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| 176 Challenge Whats wrong with splitting data after filling it.html |
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| 177 Custom Evaluation Function.en.srt |
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| 177 Custom Evaluation Function.mp4 |
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| 178 Reducing Data.en.srt |
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| 178 Reducing Data.mp4 |
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| 179 RandomizedSearchCV.en.srt |
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| 179 RandomizedSearchCV.mp4 |
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| 180 Improving Hyperparameters.en.srt |
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| 180 Improving Hyperparameters.mp4 |
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| 181 Preproccessing Our Data.en.srt |
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| 181 Preproccessing Our Data.mp4 |
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| 182 Making Predictions.en.srt |
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| 182 Making Predictions.mp4 |
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| 184 Data Engineering Introduction.en.srt |
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| 197 Section Overview.en.srt |
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| 198 Deep Learning and Unstructured Data.en.srt |
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| 199 Setting Up With Google.html |
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| 202 Uploading Project Data.en.srt |
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| 203 Setting Up Our Data.en.srt |
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| 211 Preparing The Images.en.srt |
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| 212 Turning Data Labels Into Numbers.en.srt |
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| 213 Creating Our Own Validation Set.en.srt |
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| 218 Visualizing Our Data.en.srt |
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| 219 Preparing Our Inputs and Outputs.en.srt |
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| 220 Optional How machines learn and whats going on behind the scenes.html |
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| 225 Summarizing Our Model.en.srt |
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| 226 Evaluating Our Model.en.srt |
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| 227 Preventing Overfitting.en.srt |
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| 228 Training Your Deep Neural Network.en.srt |
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| 229 Evaluating Performance With TensorBoard.en.srt |
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| 230 Make And Transform Predictions.en.srt |
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| 235 Saving And Loading A Trained Model.en.srt |
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| 237 Making Predictions On Test Images.en.srt |
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| 238 Submitting Model to Kaggle.en.srt |
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| 239 Making Predictions On Our Images.en.srt |
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| 240 Finishing Dog Vision Where to next.html |
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| 241 Section Overview.en.srt |
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| 242 Communicating Your Work.en.srt |
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| 248 Communicating and sharing your work Further reading.html |
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| 249 Endorsements On LinkedIn.html |
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| 250 Quick Note Upcoming Video.html |
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| 251 What If I Dont Have Enough Experience.en.srt |
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| 261 Coding Challenges.html |
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| 263 What Is A Programming Language.en.srt |
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| 265 How To Run Python Code.en.srt |
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| 266 Our First Python Program.en.srt |
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| 267 Python 2 vs Python 3.en.srt |
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| 268 Exercise How Does Python Work.en.srt |
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| 269 Learning Python.en.srt |
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| 274 DEVELOPER FUNDAMENTALS I.en.srt |
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| 275 Operator Precedence.en.srt |
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| 276 Exercise Operator Precedence.html |
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| 277 Optional bin() and complex.en.srt |
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| 283 Type Conversion.en.srt |
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| 287 Immutability.en.srt |
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| 303 DEVELOPER FUNDAMENTALS III.en.srt |
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| 360 Next Steps.html |
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