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种子名称： giga-course.-com-udemy-complete-machine-learning-data-science-bootcamp-2023
文件类型： 视频
文件数目： 321个文件
文件大小： 29.17 GB
收录时间： 2023-2-25 11:12
已经下载： 3次
资源热度： 248
最近下载： 2024-12-26 10:51

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giga-course.-com-udemy-complete-machine-learning-data-science-bootcamp-2023.torrent

15 - Storytelling Communication How To Present Your Work/252 - Section Overview.mp411.41MB

15 - Storytelling Communication How To Present Your Work/253 - Communicating Your Work.mp421.12MB

15 - Storytelling Communication How To Present Your Work/254 - Communicating With Managers.mp410.94MB

15 - Storytelling Communication How To Present Your Work/255 - Communicating With CoWorkers.mp411.39MB

15 - Storytelling Communication How To Present Your Work/256 - Weekend Project Principle.mp414.81MB

15 - Storytelling Communication How To Present Your Work/257 - Communicating With Outside World.mp49.16MB

15 - Storytelling Communication How To Present Your Work/258 - Storytelling.mp46.86MB

20 - Where To Go From Here/376 - Thank You.mp415.4MB

7 - NumPy/59 - Section Overview.mp422.44MB

7 - NumPy/60 - NumPy Introduction.mp421.32MB

7 - NumPy/62 - NumPy DataTypes and Attributes.mp4113.59MB

7 - NumPy/63 - Creating NumPy Arrays.mp497.74MB

7 - NumPy/64 - NumPy Random Seed.mp461.5MB

7 - NumPy/65 - Viewing Arrays and Matrices.mp481.8MB

7 - NumPy/66 - Manipulating Arrays.mp4118.86MB

7 - NumPy/67 - Manipulating Arrays 2.mp4115.87MB

7 - NumPy/68 - Standard Deviation and Variance.mp461.5MB

7 - NumPy/69 - Reshape and Transpose.mp491.27MB

7 - NumPy/70 - Dot Product vs Element Wise.mp4122.36MB

7 - NumPy/71 - Exercise Nut Butter Store Sales.mp4154.7MB

7 - NumPy/72 - Comparison Operators.mp438.23MB

7 - NumPy/73 - Sorting Arrays.mp438.86MB

7 - NumPy/74 - Turn Images Into NumPy Arrays.mp4164.8MB

7 - NumPy/75 - Exercise Imposter Syndrome.mp453.7MB

16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4312.14MB

16 - Career Advice Extra Bits/265 - JTS Learn to Learn.mp410.42MB

16 - Career Advice Extra Bits/266 - JTS Start With Why.mp414.27MB

16 - Career Advice Extra Bits/268 - CWD Git Github.mp4361.96MB

16 - Career Advice Extra Bits/269 - CWD Git Github 2.mp4228.66MB

16 - Career Advice Extra Bits/270 - Contributing To Open Source.mp4235.6MB

16 - Career Advice Extra Bits/271 - Contributing To Open Source 2.mp4213.67MB

18 - Learn Python Part 2/323 - Breaking The Flow.mp412.73MB

18 - Learn Python Part 2/324 - Conditional Logic.mp492.52MB

18 - Learn Python Part 2/325 - Indentation In Python.mp421.98MB

18 - Learn Python Part 2/326 - Truthy vs Falsey.mp473.71MB

18 - Learn Python Part 2/327 - Ternary Operator.mp412.51MB

18 - Learn Python Part 2/328 - Short Circuiting.mp412.23MB

18 - Learn Python Part 2/329 - Logical Operators.mp425.36MB

18 - Learn Python Part 2/330 - Exercise Logical Operators.mp437.05MB

18 - Learn Python Part 2/331 - is vs.mp430.78MB

18 - Learn Python Part 2/332 - For Loops.mp425.22MB

18 - Learn Python Part 2/333 - Iterables.mp454.29MB

18 - Learn Python Part 2/334 - Exercise Tricky Counter.mp414.14MB

18 - Learn Python Part 2/335 - range.mp434.29MB

18 - Learn Python Part 2/336 - enumerate.mp417.66MB

18 - Learn Python Part 2/337 - While Loops.mp421.04MB

18 - Learn Python Part 2/338 - While Loops 2.mp416.74MB

18 - Learn Python Part 2/339 - break continue pass.mp414.12MB

18 - Learn Python Part 2/340 - Our First GUI.mp479.47MB

18 - Learn Python Part 2/341 - DEVELOPER FUNDAMENTALS IV.mp441.33MB

18 - Learn Python Part 2/342 - Exercise Find Duplicates.mp415.82MB

18 - Learn Python Part 2/343 - Functions.mp434.06MB

18 - Learn Python Part 2/344 - Parameters and Arguments.mp417.45MB

18 - Learn Python Part 2/345 - Default Parameters and Keyword Arguments.mp429.14MB

18 - Learn Python Part 2/346 - return.mp456.71MB

18 - Learn Python Part 2/348 - Methods vs Functions.mp437.64MB

18 - Learn Python Part 2/349 - Docstrings.mp415.72MB

18 - Learn Python Part 2/350 - Clean Code.mp413.03MB

18 - Learn Python Part 2/351 - args and kwargs.mp433.08MB

18 - Learn Python Part 2/352 - Exercise Functions.mp416.38MB

18 - Learn Python Part 2/353 - Scope.mp412.48MB

18 - Learn Python Part 2/354 - Scope Rules.mp429.31MB

18 - Learn Python Part 2/355 - global Keyword.mp433.36MB

18 - Learn Python Part 2/356 - nonlocal Keyword.mp414.54MB

18 - Learn Python Part 2/357 - Why Do We Need Scope.mp416.05MB

18 - Learn Python Part 2/358 - Pure Functions.mp460.35MB

18 - Learn Python Part 2/359 - map.mp448.26MB

18 - Learn Python Part 2/360 - filter.mp414.97MB

18 - Learn Python Part 2/361 - zip.mp416.01MB

18 - Learn Python Part 2/362 - reduce.mp465.82MB

18 - Learn Python Part 2/363 - List Comprehensions.mp438.85MB

18 - Learn Python Part 2/364 - Set Comprehensions.mp426.61MB

18 - Learn Python Part 2/365 - Exercise Comprehensions.mp414.59MB

18 - Learn Python Part 2/367 - Modules in Python.mp4168.43MB

18 - Learn Python Part 2/369 - Optional PyCharm.mp465.24MB

18 - Learn Python Part 2/370 - Packages in Python.mp4109.34MB

18 - Learn Python Part 2/371 - Different Ways To Import.mp439.03MB

6 - Pandas Data Analysis/46 - Section Overview.mp411.33MB

6 - Pandas Data Analysis/48 - Pandas Introduction.mp417.69MB

6 - Pandas Data Analysis/49 - Series Data Frames and CSVs.mp4165.29MB

6 - Pandas Data Analysis/51 - Describing Data with Pandas.mp4111.78MB

6 - Pandas Data Analysis/52 - Selecting and Viewing Data with Pandas.mp486.05MB

6 - Pandas Data Analysis/53 - Selecting and Viewing Data with Pandas Part 2.mp4186.47MB

6 - Pandas Data Analysis/54 - Manipulating Data.mp468.83MB

6 - Pandas Data Analysis/55 - Manipulating Data 2.mp4155.34MB

6 - Pandas Data Analysis/56 - Manipulating Data 3.mp4136.98MB

6 - Pandas Data Analysis/58 - How To Download The Course Assignments.mp4119.98MB

11 - Milestone Project 1 Supervised Learning Classification/151 - Section Overview.mp46.99MB

11 - Milestone Project 1 Supervised Learning Classification/152 - Project Overview.mp427.02MB

11 - Milestone Project 1 Supervised Learning Classification/153 - Project Environment Setup.mp4174.02MB

11 - Milestone Project 1 Supervised Learning Classification/154 - Optional Windows Project Environment Setup.mp458.83MB

11 - Milestone Project 1 Supervised Learning Classification/155 - Step 14 Framework Setup.mp4190.82MB

11 - Milestone Project 1 Supervised Learning Classification/156 - Getting Our Tools Ready.mp4142.35MB

11 - Milestone Project 1 Supervised Learning Classification/157 - Exploring Our Data.mp4118.89MB

11 - Milestone Project 1 Supervised Learning Classification/158 - Finding Patterns.mp4106.47MB

11 - Milestone Project 1 Supervised Learning Classification/159 - Finding Patterns 2.mp451.64MB

11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4248.7MB

11 - Milestone Project 1 Supervised Learning Classification/161 - Preparing Our Data For Machine Learning.mp4128.89MB

11 - Milestone Project 1 Supervised Learning Classification/162 - Choosing The Right Models.mp4174.81MB

11 - Milestone Project 1 Supervised Learning Classification/163 - Experimenting With Machine Learning Models.mp4100.08MB

11 - Milestone Project 1 Supervised Learning Classification/164 - TuningImproving Our Model.mp4102.77MB

11 - Milestone Project 1 Supervised Learning Classification/165 - Tuning Hyperparameters.mp477.49MB

11 - Milestone Project 1 Supervised Learning Classification/166 - Tuning Hyperparameters 2.mp4188.09MB

11 - Milestone Project 1 Supervised Learning Classification/167 - Tuning Hyperparameters 3.mp4113.19MB

11 - Milestone Project 1 Supervised Learning Classification/169 - Evaluating Our Model.mp4122.8MB

11 - Milestone Project 1 Supervised Learning Classification/170 - Evaluating Our Model 2.mp471MB

11 - Milestone Project 1 Supervised Learning Classification/171 - Evaluating Our Model 3.mp4111.86MB

11 - Milestone Project 1 Supervised Learning Classification/172 - Finding The Most Important Features.mp4222.58MB

11 - Milestone Project 1 Supervised Learning Classification/173 - Reviewing The Project.mp4156.89MB

3 - Machine Learning and Data Science Framework/15 - Section Overview.mp49.48MB

3 - Machine Learning and Data Science Framework/16 - Introducing Our Framework.mp46.24MB

3 - Machine Learning and Data Science Framework/17 - 6 Step Machine Learning Framework.mp423.47MB

3 - Machine Learning and Data Science Framework/18 - Types of Machine Learning Problems.mp432.62MB

3 - Machine Learning and Data Science Framework/19 - Types of Data.mp433.2MB

3 - Machine Learning and Data Science Framework/20 - Types of Evaluation.mp49.62MB

3 - Machine Learning and Data Science Framework/21 - Features In Data.mp428.83MB

3 - Machine Learning and Data Science Framework/22 - Modelling Splitting Data.mp419.89MB

3 - Machine Learning and Data Science Framework/23 - Modelling Picking the Model.mp412.88MB

3 - Machine Learning and Data Science Framework/24 - Modelling Tuning.mp49.14MB

3 - Machine Learning and Data Science Framework/25 - Modelling Comparison.mp426.84MB

3 - Machine Learning and Data Science Framework/27 - Experimentation.mp418.71MB

3 - Machine Learning and Data Science Framework/28 - Tools We Will Use.mp420.36MB

4 - The 2 Paths/30 - The 2 Paths.mp46.83MB

13 - Data Engineering/195 - Data Engineering Introduction.mp49.58MB

13 - Data Engineering/196 - What Is Data.mp462.89MB

13 - Data Engineering/197 - What Is A Data Engineer.mp418.76MB

13 - Data Engineering/198 - What Is A Data Engineer 2.mp424.21MB

13 - Data Engineering/199 - What Is A Data Engineer 3.mp420.99MB

13 - Data Engineering/200 - What Is A Data Engineer 4.mp411.3MB

13 - Data Engineering/201 - Types Of Databases.mp441.74MB

13 - Data Engineering/203 - Optional OLTP Databases.mp447.47MB

13 - Data Engineering/205 - Hadoop HDFS and MapReduce.mp46.92MB

13 - Data Engineering/206 - Apache Spark and Apache Flink.mp44.4MB

13 - Data Engineering/207 - Kafka and Stream Processing.mp422.92MB

8 - Matplotlib Plotting and Data Visualization/78 - Section Overview.mp46MB

8 - Matplotlib Plotting and Data Visualization/79 - Matplotlib Introduction.mp434.69MB

8 - Matplotlib Plotting and Data Visualization/80 - Importing And Using Matplotlib.mp4146.57MB

8 - Matplotlib Plotting and Data Visualization/81 - Anatomy Of A Matplotlib Figure.mp4119.25MB

8 - Matplotlib Plotting and Data Visualization/82 - Scatter Plot And Bar Plot.mp495.45MB

8 - Matplotlib Plotting and Data Visualization/83 - Histograms And Subplots.mp4116.53MB

8 - Matplotlib Plotting and Data Visualization/84 - Subplots Option 2.mp454.35MB

8 - Matplotlib Plotting and Data Visualization/85 - Quick Tip Data Visualizations.mp48.34MB

8 - Matplotlib Plotting and Data Visualization/86 - Plotting From Pandas DataFrames.mp489.45MB

8 - Matplotlib Plotting and Data Visualization/88 - Plotting From Pandas DataFrames 2.mp4176.81MB

8 - Matplotlib Plotting and Data Visualization/89 - Plotting from Pandas DataFrames 3.mp4127.11MB

8 - Matplotlib Plotting and Data Visualization/90 - Plotting from Pandas DataFrames 4.mp453.06MB

8 - Matplotlib Plotting and Data Visualization/91 - Plotting from Pandas DataFrames 5.mp492.84MB

8 - Matplotlib Plotting and Data Visualization/92 - Plotting from Pandas DataFrames 6.mp4121MB

8 - Matplotlib Plotting and Data Visualization/93 - Plotting from Pandas DataFrames 7.mp4220.01MB

8 - Matplotlib Plotting and Data Visualization/94 - Customizing Your Plots.mp4161.13MB

8 - Matplotlib Plotting and Data Visualization/95 - Customizing Your Plots 2.mp4123.59MB

8 - Matplotlib Plotting and Data Visualization/96 - Saving And Sharing Your Plots.mp492.56MB

9 - Scikitlearn Creating Machine Learning Models/101 - Refresher What Is Machine Learning.mp433.43MB

9 - Scikitlearn Creating Machine Learning Models/103 - Scikitlearn Cheatsheet.mp475.13MB

9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4335.88MB

9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4322.05MB

9 - Scikitlearn Creating Machine Learning Models/106 - Getting Your Data Ready Splitting Your Data.mp4108.98MB

9 - Scikitlearn Creating Machine Learning Models/107 - Quick Tip Clean Transform Reduce.mp420.17MB

9 - Scikitlearn Creating Machine Learning Models/108 - Getting Your Data Ready Convert Data To Numbers.mp4236.88MB

9 - Scikitlearn Creating Machine Learning Models/110 - Getting Your Data Ready Handling Missing Values With Pandas.mp4186.79MB

9 - Scikitlearn Creating Machine Learning Models/113 - Getting Your Data Ready Handling Missing Values With Scikitlearn.mp4241.43MB

9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4435.22MB

9 - Scikitlearn Creating Machine Learning Models/115 - NEW Choosing The Right Model For Your Data 2 Regression.mp4239.88MB

9 - Scikitlearn Creating Machine Learning Models/117 - Quick Tip How ML Algorithms Work.mp410.92MB

9 - Scikitlearn Creating Machine Learning Models/118 - Choosing The Right Model For Your Data 3 Classification.mp4216.27MB

9 - Scikitlearn Creating Machine Learning Models/119 - Fitting A Model To The Data.mp4100.81MB

9 - Scikitlearn Creating Machine Learning Models/120 - Making Predictions With Our Model.mp4117.91MB

9 - Scikitlearn Creating Machine Learning Models/121 - predict vs predictproba.mp456.5MB

9 - Scikitlearn Creating Machine Learning Models/122 - NEW Making Predictions With Our Model Regression.mp4145.9MB

9 - Scikitlearn Creating Machine Learning Models/123 - NEW Evaluating A Machine Learning Model Score Part 1.mp4153.18MB

9 - Scikitlearn Creating Machine Learning Models/124 - NEW Evaluating A Machine Learning Model Score Part 2.mp4115.21MB

9 - Scikitlearn Creating Machine Learning Models/125 - Evaluating A Machine Learning Model 2 Cross Validation.mp4142.19MB

9 - Scikitlearn Creating Machine Learning Models/126 - Evaluating A Classification Model 1 Accuracy.mp445.61MB

9 - Scikitlearn Creating Machine Learning Models/127 - Evaluating A Classification Model 2 ROC Curve.mp4113.7MB

9 - Scikitlearn Creating Machine Learning Models/128 - Evaluating A Classification Model 3 ROC Curve.mp485.33MB

9 - Scikitlearn Creating Machine Learning Models/130 - Evaluating A Classification Model 4 Confusion Matrix.mp4136.17MB

9 - Scikitlearn Creating Machine Learning Models/131 - NEW Evaluating A Classification Model 5 Confusion Matrix.mp4189.56MB

9 - Scikitlearn Creating Machine Learning Models/132 - Evaluating A Classification Model 6 Classification Report.mp4151.34MB

9 - Scikitlearn Creating Machine Learning Models/133 - NEW Evaluating A Regression Model 1 R2 Score.mp4181.28MB

9 - Scikitlearn Creating Machine Learning Models/134 - NEW Evaluating A Regression Model 2 MAE.mp473.97MB

9 - Scikitlearn Creating Machine Learning Models/135 - NEW Evaluating A Regression Model 3 MSE.mp4161.59MB

9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4410.15MB

9 - Scikitlearn Creating Machine Learning Models/138 - NEW Evaluating A Model With Scikitlearn Functions.mp4241.27MB

9 - Scikitlearn Creating Machine Learning Models/139 - Improving A Machine Learning Model.mp4161.3MB

9 - Scikitlearn Creating Machine Learning Models/140 - Tuning Hyperparameters.mp4118.94MB

9 - Scikitlearn Creating Machine Learning Models/141 - Tuning Hyperparameters 2.mp4202.73MB

9 - Scikitlearn Creating Machine Learning Models/142 - Tuning Hyperparameters 3.mp4212.07MB

9 - Scikitlearn Creating Machine Learning Models/144 - Quick Tip Correlation Analysis.mp430.94MB

9 - Scikitlearn Creating Machine Learning Models/145 - Saving And Loading A Model.mp491.29MB

9 - Scikitlearn Creating Machine Learning Models/146 - Saving And Loading A Model 2.mp485.87MB

9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4261.14MB

9 - Scikitlearn Creating Machine Learning Models/148 - Putting It All Together 2.mp4211.27MB

9 - Scikitlearn Creating Machine Learning Models/98 - Section Overview.mp48.62MB

9 - Scikitlearn Creating Machine Learning Models/99 - Scikitlearn Introduction.mp426.58MB

2 - Machine Learning 101/10 - Types of Machine Learning.mp414.82MB

2 - Machine Learning 101/12 - What Is Machine Learning Round 2.mp418.9MB

2 - Machine Learning 101/13 - Section Review.mp43.98MB

2 - Machine Learning 101/5 - What Is Machine Learning.mp428.3MB

2 - Machine Learning 101/6 - AIMachine LearningData Science.mp419.67MB

2 - Machine Learning 101/7 - Exercise Machine Learning Playground.mp442.62MB

2 - Machine Learning 101/8 - How Did We Get Here.mp430.5MB

2 - Machine Learning 101/9 - Exercise YouTube Recommendation Engine.mp412.92MB

17 - Learn Python/274 - What Is A Programming Language.mp487.87MB

17 - Learn Python/275 - Python Interpreter.mp4138.04MB

17 - Learn Python/276 - How To Run Python Code.mp472.35MB

17 - Learn Python/277 - Our First Python Program.mp462.47MB

17 - Learn Python/278 - Latest Version Of Python.mp412.95MB

17 - Learn Python/279 - Python 2 vs Python 3.mp4144.02MB

17 - Learn Python/280 - Exercise How Does Python Work.mp428.84MB

17 - Learn Python/281 - Learning Python.mp412.06MB

17 - Learn Python/282 - Python Data Types.mp419.17MB

17 - Learn Python/284 - Numbers.mp480.19MB

17 - Learn Python/285 - Math Functions.mp418.2MB

17 - Learn Python/286 - DEVELOPER FUNDAMENTALS I.mp4107.13MB

17 - Learn Python/287 - Operator Precedence.mp48.34MB

17 - Learn Python/289 - Optional bin and complex.mp423.73MB

17 - Learn Python/290 - Variables.mp499.55MB

17 - Learn Python/291 - Expressions vs Statements.mp44.8MB

17 - Learn Python/292 - Augmented Assignment Operator.mp48.46MB

17 - Learn Python/293 - Strings.mp421.07MB

17 - Learn Python/294 - String Concatenation.mp43.76MB

17 - Learn Python/295 - Type Conversion.mp424.93MB

17 - Learn Python/296 - Escape Sequences.mp412.95MB

17 - Learn Python/297 - Formatted Strings.mp433.11MB

17 - Learn Python/298 - String Indexes.mp425.64MB

17 - Learn Python/299 - Immutability.mp412.69MB

17 - Learn Python/300 - BuiltIn Functions Methods.mp490.98MB

17 - Learn Python/301 - Booleans.mp417.57MB

17 - Learn Python/302 - Exercise Type Conversion.mp439.03MB

17 - Learn Python/303 - DEVELOPER FUNDAMENTALS II.mp439.49MB

17 - Learn Python/304 - Exercise Password Checker.mp438.72MB

17 - Learn Python/305 - Lists.mp412.97MB

17 - Learn Python/306 - List Slicing.mp426.8MB

17 - Learn Python/307 - Matrix.mp412.85MB

17 - Learn Python/308 - List Methods.mp465.1MB

17 - Learn Python/309 - List Methods 2.mp429.2MB

17 - Learn Python/310 - List Methods 3.mp429.46MB

17 - Learn Python/311 - Common List Patterns.mp430.72MB

17 - Learn Python/312 - List Unpacking.mp49.3MB

17 - Learn Python/313 - None.mp44.49MB

17 - Learn Python/314 - Dictionaries.mp418.74MB

17 - Learn Python/315 - DEVELOPER FUNDAMENTALS III.mp414.91MB

17 - Learn Python/316 - Dictionary Keys.mp411.93MB

17 - Learn Python/317 - Dictionary Methods.mp415.01MB

17 - Learn Python/318 - Dictionary Methods 2.mp446.3MB

17 - Learn Python/319 - Tuples.mp415.07MB

17 - Learn Python/320 - Tuples 2.mp411.57MB

17 - Learn Python/321 - Sets.mp439.02MB

17 - Learn Python/322 - Sets 2.mp470.81MB

1 - Introduction/1 - Course Outline.mp477.27MB

1 - Introduction/2 - Join Our Online Classroom.mp4151.56MB

5 - Data Science Environment Setup/33 - Section Overview.mp43.88MB

5 - Data Science Environment Setup/35 - What is Conda.mp47.26MB

5 - Data Science Environment Setup/36 - Conda Environments.mp428.5MB

5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4261.42MB

5 - Data Science Environment Setup/38 - Mac Environment Setup 2.mp4222.79MB

5 - Data Science Environment Setup/39 - Windows Environment Setup.mp458.91MB

5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4416.87MB

5 - Data Science Environment Setup/43 - Jupyter Notebook Walkthrough.mp4101.98MB

5 - Data Science Environment Setup/44 - Jupyter Notebook Walkthrough 2.mp456.58MB

5 - Data Science Environment Setup/45 - Jupyter Notebook Walkthrough 3.mp4127.47MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/208 - Section Overview.mp415.09MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/209 - Deep Learning and Unstructured Data.mp4119.78MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/211 - Setting Up Google Colab.mp480.31MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/212 - Google Colab Workspace.mp458.5MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/213 - Uploading Project Data.mp491.84MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/214 - Setting Up Our Data.mp475.89MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 - Setting Up Our Data 2.mp437.36MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/216 - Importing TensorFlow 2.mp4210.55MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 - Optional TensorFlow 20 Default Issue.mp434.96MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 - Using A GPU.mp4146.32MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 - Optional GPU and Google Colab.mp469.05MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/220 - Optional Reloading Colab Notebook.mp4167.03MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 - Loading Our Data Labels.mp4205.93MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 - Preparing The Images.mp4243.6MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 - Turning Data Labels Into Numbers.mp4195.68MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 - Creating Our Own Validation Set.mp494.83MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 - Preprocess Images.mp4158.13MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 - Preprocess Images 2.mp4190.39MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 - Turning Data Into Batches.mp4155.25MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4265.76MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 - Visualizing Our Data.mp4222.05MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 - Preparing Our Inputs and Outputs.mp484.68MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 - Building A Deep Learning Model.mp4224.53MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 - Building A Deep Learning Model 2.mp4192.16MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 - Building A Deep Learning Model 3.mp4197.58MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/235 - Building A Deep Learning Model 4.mp4155.09MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 - Summarizing Our Model.mp482.03MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 - Evaluating Our Model.mp4116.01MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 - Preventing Overfitting.mp454.9MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4297.23MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/240 - Evaluating Performance With TensorBoard.mp4132.89MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4279.06MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/242 - Transform Predictions To Text.mp4228.54MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/243 - Visualizing Model Predictions.mp4209.51MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4253.7MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Visualizing And Evaluate Model Predictions 3.mp474.92MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/246 - Saving And Loading A Trained Model.mp4226.83MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/247 - Training Model On Full Dataset.mp480.94MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4245.09MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/249 - Submitting Model to Kaggle.mp474.88MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/250 - Making Predictions On Our Images.mp4119.39MB

12 - Milestone Project 2 Supervised Learning Time Series Data/174 - Section Overview.mp415.78MB

12 - Milestone Project 2 Supervised Learning Time Series Data/175 - Project Overview.mp422.1MB

12 - Milestone Project 2 Supervised Learning Time Series Data/177 - Project Environment Setup.mp4179MB

12 - Milestone Project 2 Supervised Learning Time Series Data/178 - Step 14 Framework Setup.mp4155.07MB

12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4251.42MB

12 - Milestone Project 2 Supervised Learning Time Series Data/180 - Exploring Our Data 2.mp490.81MB

12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4290.84MB

12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4265.83MB

12 - Milestone Project 2 Supervised Learning Time Series Data/183 - Filling Missing Numerical Values.mp4190.06MB

12 - Milestone Project 2 Supervised Learning Time Series Data/184 - Filling Missing Categorical Values.mp4117.75MB

12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Fitting A Machine Learning Model.mp495.8MB

12 - Milestone Project 2 Supervised Learning Time Series Data/186 - Splitting Data.mp4146.01MB

12 - Milestone Project 2 Supervised Learning Time Series Data/188 - Custom Evaluation Function.mp4183.95MB

12 - Milestone Project 2 Supervised Learning Time Series Data/189 - Reducing Data.mp4168.6MB

12 - Milestone Project 2 Supervised Learning Time Series Data/190 - RandomizedSearchCV.mp4155.51MB

12 - Milestone Project 2 Supervised Learning Time Series Data/191 - Improving Hyperparameters.mp4144.18MB

12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4258.83MB

12 - Milestone Project 2 Supervised Learning Time Series Data/193 - Making Predictions.mp4142.08MB

12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4253.96MB