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| 013 Plotting from Pandas DataFrames 4__en.srt |
9.97KB |
| 013 Plotting from Pandas DataFrames 4.mp4 |
14.32MB |
| 013 range()__en.srt |
6.29KB |
| 013 range().mp4 |
20.78MB |
| 013 Splitting Data__en.srt |
14.29KB |
| 013 Splitting Data.mp4 |
36.98MB |
| 014 Challenge_ What's wrong with splitting data after filling it_.html |
1.72KB |
| 014 Comparison Operators__en.srt |
5.22KB |
| 014 Comparison Operators.mp4 |
22.04MB |
| 014 enumerate()__en.srt |
4.93KB |
| 014 enumerate().mp4 |
9.40MB |
| 014 Exercise_ Contribute To Open Source.html |
1.48KB |
| 014 Extension_ Feature Scaling.html |
2.93KB |
| 014 Loading Our Data Labels__en.srt |
16.29KB |
| 014 Loading Our Data Labels.mp4 |
112.36MB |
| 014 Operator Precedence__en.srt |
3.42KB |
| 014 Operator Precedence.mp4 |
5.78MB |
| 014 Plotting from Pandas DataFrames 5__en.srt |
12.19KB |
| 014 Plotting from Pandas DataFrames 5.mp4 |
54.39MB |
| 014 Tools We Will Use__en.srt |
6.08KB |
| 014 Tools We Will Use.mp4 |
12.91MB |
| 014 Tuning_Improving Our Model__en.srt |
18.87KB |
| 014 Tuning_Improving Our Model.mp4 |
102.85MB |
| 015 Custom Evaluation Function__en.srt |
5.31KB |
| 015 Custom Evaluation Function_en.vtt |
14.40KB |
| 015 Custom Evaluation Function.mp4 |
67.50MB |
| 015 Exercise_ Operator Precedence.html |
683B |
| 015 Note_ Correction in the upcoming video (splitting data).html |
2.16KB |
| 015 Optional_ Elements of AI.html |
975B |
| 015 Plotting from Pandas DataFrames 6__en.srt |
11.73KB |
| 015 Plotting from Pandas DataFrames 6.mp4 |
67.47MB |
| 015 Preparing The Images__en.srt |
14.99KB |
| 015 Preparing The Images.mp4 |
132.05MB |
| 015 Sorting Arrays__en.srt |
8.95KB |
| 015 Sorting Arrays.mp4 |
24.28MB |
| 015 Tuning Hyperparameters__en.srt |
16.34KB |
| 015 Tuning Hyperparameters.mp4 |
106.28MB |
| 015 While Loops__en.srt |
7.71KB |
| 015 While Loops.mp4 |
13.94MB |
| 016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn__en.srt |
24.78KB |
| 016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 |
131.36MB |
| 016 Optional_ bin() and complex__en.srt |
5.07KB |
| 016 Optional_ bin() and complex.mp4 |
10.65MB |
| 016 Plotting from Pandas DataFrames 7__en.srt |
15.94KB |
| 016 Plotting from Pandas DataFrames 7.mp4 |
118.88MB |
| 016 Reducing Data__en.srt |
15.41KB |
| 016 Reducing Data.mp4 |
91.44MB |
| 016 Tuning Hyperparameters 2__en.srt |
16.07KB |
| 016 Tuning Hyperparameters 2.mp4 |
101.73MB |
| 016 Turn Images Into NumPy Arrays__en.srt |
10.60KB |
| 016 Turn Images Into NumPy Arrays.mp4 |
71.28MB |
| 016 Turning Data Labels Into Numbers__en.srt |
14.22KB |
| 016 Turning Data Labels Into Numbers.mp4 |
104.97MB |
| 016 While Loops 2__en.srt |
6.93KB |
| 016 While Loops 2.mp4 |
11.48MB |
| 017 Assignment_ NumPy Practice.html |
2.17KB |
| 017 break, continue, pass__en.srt |
5.42KB |
| 017 break, continue, pass.mp4 |
9.25MB |
| 017 Creating Our Own Validation Set__en.srt |
11.76KB |
| 017 Creating Our Own Validation Set.mp4 |
55.55MB |
| 017 Customizing Your Plots__en.srt |
14.40KB |
| 017 Customizing Your Plots.mp4 |
90.98MB |
| 017 NEW_ Choosing The Right Model For Your Data__en.srt |
30.12KB |
| 017 NEW_ Choosing The Right Model For Your Data.mp4 |
234.28MB |
| 017 RandomizedSearchCV__en.srt |
13.34KB |
| 017 RandomizedSearchCV.mp4 |
72.09MB |
| 017 Tuning Hyperparameters 3__en.srt |
10.30KB |
| 017 Tuning Hyperparameters 3.mp4 |
61.50MB |
| 017 Variables__en.srt |
16.55KB |
| 017 Variables.mp4 |
56.86MB |
| 018 Customizing Your Plots 2__en.srt |
13.25KB |
| 018 Customizing Your Plots 2.mp4 |
123.67MB |
| 018 Expressions vs Statements__en.srt |
1.89KB |
| 018 Expressions vs Statements.mp4 |
3.16MB |
| 018 Improving Hyperparameters__en.srt |
11.81KB |
| 018 Improving Hyperparameters.mp4 |
77.96MB |
| 018 NEW_ Choosing The Right Model For Your Data 2 (Regression)__en.srt |
16.90KB |
| 018 NEW_ Choosing The Right Model For Your Data 2 (Regression).mp4 |
128.64MB |
| 018 Optional_ Extra NumPy resources.html |
1.02KB |
| 018 Our First GUI__en.srt |
10.86KB |
| 018 Our First GUI.mp4 |
46.05MB |
| 018 Preprocess Images__en.srt |
13.63KB |
| 018 Preprocess Images.mp4 |
88.09MB |
| 018 Quick Note_ Confusion Matrix Labels.html |
1.11KB |
| 019 Augmented Assignment Operator__en.srt |
3.25KB |
| 019 Augmented Assignment Operator.mp4 |
5.65MB |
| 019 DEVELOPER FUNDAMENTALS_ IV__en.srt |
8.16KB |
| 019 DEVELOPER FUNDAMENTALS_ IV.mp4 |
24.71MB |
| 019 Evaluating Our Model__en.srt |
16.00KB |
| 019 Evaluating Our Model.mp4 |
68.05MB |
| 019 Preproccessing Our Data__en.srt |
18.17KB |
| 019 Preproccessing Our Data.mp4 |
114.64MB |
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13.92KB |
| 019 Preprocess Images 2.mp4 |
87.19MB |
| 019 Quick Note_ Decision Trees.html |
221B |
| 019 Saving And Sharing Your Plots__en.srt |
6.24KB |
| 019 Saving And Sharing Your Plots.mp4 |
49.62MB |
| 020 Assignment_ Matplotlib Practice.html |
2.05KB |
| 020 Evaluating Our Model 2__en.srt |
8.07KB |
| 020 Evaluating Our Model 2.mp4 |
34.64MB |
| 020 Exercise_ Find Duplicates__en.srt |
4.40KB |
| 020 Exercise_ Find Duplicates.mp4 |
8.50MB |
| 020 Making Predictions__en.srt |
11.25KB |
| 020 Making Predictions.mp4 |
77.41MB |
| 020 Quick Tip_ How ML Algorithms Work__en.srt |
1.88KB |
| 020 Quick Tip_ How ML Algorithms Work.mp4 |
2.78MB |
| 020 Strings__en.srt |
6.53KB |
| 020 Strings.mp4 |
11.19MB |
| 020 Turning Data Into Batches__en.srt |
12.36KB |
| 020 Turning Data Into Batches.mp4 |
74.59MB |
| 021 Choosing The Right Model For Your Data 3 (Classification)__en.srt |
18.55KB |
| 021 Choosing The Right Model For Your Data 3 (Classification).mp4 |
115.87MB |
| 021 Evaluating Our Model 3__en.srt |
12.15KB |
| 021 Evaluating Our Model 3.mp4 |
62.06MB |
| 021 Feature Importance__en.srt |
18.30KB |
| 021 Feature Importance.mp4 |
140.54MB |
| 021 Functions__en.srt |
9.39KB |
| 021 Functions.mp4 |
21.27MB |
| 021 String Concatenation__en.srt |
1.36KB |
| 021 String Concatenation.mp4 |
2.16MB |
| 021 Turning Data Into Batches 2__en.srt |
21.82KB |
| 021 Turning Data Into Batches 2.mp4 |
126.99MB |
| 022 Finding The Most Important Features__en.srt |
23.62KB |
| 022 Finding The Most Important Features.mp4 |
123.68MB |
| 022 Fitting A Model To The Data__en.srt |
10.09KB |
| 022 Fitting A Model To The Data.mp4 |
38.41MB |
| 022 Parameters and Arguments__en.srt |
4.99KB |
| 022 Parameters and Arguments.mp4 |
9.32MB |
| 022 Type Conversion__en.srt |
3.46KB |
| 022 Type Conversion.mp4 |
14.59MB |
| 022 Visualizing Our Data__en.srt |
15.38KB |
| 022 Visualizing Our Data.mp4 |
120.06MB |
| 023 Default Parameters and Keyword Arguments__en.srt |
6.25KB |
| 023 Default Parameters and Keyword Arguments.mp4 |
18.12MB |
| 023 Escape Sequences__en.srt |
5.21KB |
| 023 Escape Sequences.mp4 |
8.68MB |
| 023 Making Predictions With Our Model__en.srt |
12.91KB |
| 023 Making Predictions With Our Model.mp4 |
64.10MB |
| 023 Preparing Our Inputs and Outputs__en.srt |
8.03KB |
| 023 Preparing Our Inputs and Outputs.mp4 |
47.96MB |
| 023 Reviewing The Project__en.srt |
14.84KB |
| 023 Reviewing The Project.mp4 |
84.78MB |
| 024 Formatted Strings__en.srt |
9.63KB |
| 024 Formatted Strings.mp4 |
21.81MB |
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2.72KB |
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12.19KB |
| 024 predict() vs predict_proba().mp4 |
39.07MB |
| 024 return__en.srt |
15.88KB |
| 024 return.mp4 |
36.79MB |
| 025 Building A Deep Learning Model__en.srt |
17.32KB |
| 025 Building A Deep Learning Model.mp4 |
120.15MB |
| 025 Exercise_ Tesla.html |
402B |
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12.77KB |
| 025 NEW_ Making Predictions With Our Model (Regression).mp4 |
79.23MB |
| 025 String Indexes__en.srt |
9.88KB |
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17.42MB |
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13.02KB |
| 026 Building A Deep Learning Model 2.mp4 |
88.60MB |
| 026 Immutability__en.srt |
3.63KB |
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8.19MB |
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5.72KB |
| 026 Methods vs Functions.mp4 |
26.33MB |
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14.58KB |
| 026 NEW_ Evaluating A Machine Learning Model (Score) Part 1.mp4 |
36.57MB |
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12.49KB |
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105.42MB |
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11.12KB |
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44.06MB |
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4.52KB |
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10.25MB |
| 027 NEW_ Evaluating A Machine Learning Model (Score) Part 2__en.srt |
10.09KB |
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52.92MB |
| 028 Booleans__en.srt |
4.10KB |
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12.75KB |
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72.00MB |
| 028 Clean Code__en.srt |
5.45KB |
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17.58MB |
| 028 Evaluating A Machine Learning Model 2 (Cross Validation)__en.srt |
18.35KB |
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81.47MB |
| 029 _args and __kwargs__en.srt |
8.38KB |
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32.78MB |
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6.14KB |
| 029 Evaluating A Classification Model 1 (Accuracy).mp4 |
29.87MB |
| 029 Exercise_ Type Conversion__en.srt |
9.04KB |
| 029 Exercise_ Type Conversion.mp4 |
21.77MB |
| 029 Summarizing Our Model__en.srt |
6.16KB |
| 029 Summarizing Our Model.mp4 |
44.38MB |
| 030 DEVELOPER FUNDAMENTALS_ II__en.srt |
5.53KB |
| 030 DEVELOPER FUNDAMENTALS_ II.mp4 |
18.68MB |
| 030 Evaluating A Classification Model 2 (ROC Curve)__en.srt |
12.81KB |
| 030 Evaluating A Classification Model 2 (ROC Curve).mp4 |
56.34MB |
| 030 Evaluating Our Model__en.srt |
11.41KB |
| 030 Evaluating Our Model.mp4 |
67.15MB |
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4.94KB |
| 030 Exercise_ Functions.mp4 |
10.66MB |
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10.54KB |
| 031 Evaluating A Classification Model 3 (ROC Curve).mp4 |
47.72MB |
| 031 Exercise_ Password Checker__en.srt |
8.08KB |
| 031 Exercise_ Password Checker.mp4 |
21.26MB |
| 031 Preventing Overfitting__en.srt |
5.62KB |
| 031 Preventing Overfitting.mp4 |
35.27MB |
| 031 Scope__en.srt |
4.02KB |
| 031 Scope.mp4 |
8.10MB |
| 032 Lists__en.srt |
6.00KB |
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8.90MB |
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1.48KB |
| 032 Scope Rules__en.srt |
8.17KB |
| 032 Scope Rules.mp4 |
18.90MB |
| 032 Training Your Deep Neural Network__en.srt |
24.98KB |
| 032 Training Your Deep Neural Network.mp4 |
163.09MB |
| 033 Evaluating A Classification Model 4 (Confusion Matrix)__en.srt |
15.97KB |
| 033 Evaluating A Classification Model 4 (Confusion Matrix).mp4 |
77.69MB |
| 033 Evaluating Performance With TensorBoard__en.srt |
10.18KB |
| 033 Evaluating Performance With TensorBoard.mp4 |
73.30MB |
| 033 global Keyword__en.srt |
7.24KB |
| 033 global Keyword.mp4 |
21.37MB |
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8.71KB |
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17.54MB |
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20.34KB |
| 034 Make And Transform Predictions.mp4 |
153.74MB |
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4.81KB |
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8.72MB |
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21.29KB |
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106.50MB |
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4.15KB |
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9.34MB |
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551B |
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12.99KB |
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84.95MB |
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11.84KB |
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40.19MB |
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19.19KB |
| 035 Transform Predictions To Text.mp4 |
126.28MB |
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4.90KB |
| 035 Why Do We Need Scope_.mp4 |
8.65MB |
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5.14KB |
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17.62MB |
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15.06KB |
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99.44MB |
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10.88KB |
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30.01MB |
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18.06KB |
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115.65MB |
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5.51KB |
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24.46MB |
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6.99KB |
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33.47MB |
| 037 NEW_ Evaluating A Regression Model 2 (MAE)__en.srt |
10.26KB |
| 037 NEW_ Evaluating A Regression Model 2 (MAE).mp4 |
42.90MB |
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18.41KB |
| 037 Visualizing And Evaluate Model Predictions 2.mp4 |
140.30MB |
| 038 Common List Patterns__en.srt |
6.51KB |
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16.81MB |
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5.43KB |
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9.92MB |
| 038 NEW_ Evaluating A Regression Model 3 (MSE)__en.srt |
13.67KB |
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58.75MB |
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14.36KB |
| 038 Visualizing And Evaluate Model Predictions 3.mp4 |
112.53MB |
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3.13KB |
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6.19MB |
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7.12KB |
| 039 Saving And Loading A Trained Model__en.srt |
17.33KB |
| 039 Saving And Loading A Trained Model.mp4 |
124.82MB |
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3.44KB |
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10.18MB |
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36.46KB |
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224.91MB |
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2.29KB |
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3.08MB |
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9.18KB |
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23.79MB |
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20.17KB |
| 040 Training Model On Full Dataset.mp4 |
48.58MB |
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7.97KB |
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12.49MB |
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9.86KB |
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24.30MB |
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21.29KB |
| 041 Making Predictions On Test Images.mp4 |
120.06MB |
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20.22KB |
| 041 NEW_ Evaluating A Model With Scikit-learn Functions.mp4 |
130.40MB |
| 042 DEVELOPER FUNDAMENTALS_ III__en.srt |
3.49KB |
| 042 DEVELOPER FUNDAMENTALS_ III.mp4 |
8.66MB |
| 042 Improving A Machine Learning Model__en.srt |
15.24KB |
| 042 Improving A Machine Learning Model.mp4 |
90.87MB |
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6.94KB |
| 042 Set Comprehensions.mp4 |
17.07MB |
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17.32KB |
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101.92MB |
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4.05KB |
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7.88MB |
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5.26KB |
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9.65MB |
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20.23KB |
| 043 Making Predictions On Our Images.mp4 |
119.42MB |
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32.43KB |
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167.98MB |
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5.73KB |
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10.08MB |
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3.86KB |
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1.12KB |
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18.12KB |
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116.86MB |
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28.20MB |
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13.34KB |
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78.10MB |
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20.41KB |
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118.13MB |
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2.18KB |
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448B |
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9.99MB |
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25.36MB |
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3.04KB |
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16.33MB |
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6.25MB |
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13.10KB |
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61.84MB |
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10.21KB |
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50.43MB |
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23.95MB |
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47.66MB |
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